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| Title |
Author |
Year |
Publisher |
| Android anomaly detection system using machine learning classification |
Kurniawan, Harry; Rosmansyah, Yusep; Dabarsyah, Budiman; |
2015 |
IEEE |
| Design of polymeric membranes for air separation by combining machine learning tools with computer aided molecular design |
Cheun, Jie-Ying; Liew, Joshua-Yeh-Loong; Tan, Qian-Ying; Chong, Jia-Wen; Ooi, Jecksin; Chemmangattuvalappil, Nishanth G; |
2023 |
MDPI |
| Comprehensive analysis of network traffic data |
Miao, Yuantian; Ruan, Zichan; Pan, Lei; Zhang, Jun; Xiang, Yang; |
2018 |
Wiley Online Library |
| Current trends and applications of machine learning in tribology—A review |
Marian, Max; Tremmel, Stephan; |
2021 |
MDPI |
| Machine learning applied to software testing: A systematic mapping study |
Durelli, Vinicius HS; Durelli, Rafael S; Borges, Simone S; Endo, Andre T; Eler, Marcelo M; Dias, Diego RC; Guimarães, Marcelo P; |
2019 |
IEEE |
| Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing |
Brintrup, Alexandra; Pak, Johnson; Ratiney, David; Pearce, Tim; Wichmann, Pascal; Woodall, Philip; McFarlane, Duncan; |
2020 |
Taylor & Francis |
| Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network |
Kilicarslan, Serhat; Adem, Kemal; Celik, Mete; |
2020 |
Elsevier |
| Emotion recognition using physiological signals: laboratory vs. wearable sensors |
Ragot, Martin; Martin, Nicolas; Em, Sonia; Pallamin, Nico; Diverrez, Jean-Marc; |
2017 |
Springer International Publishing Cham |
| Bayesian regularized artificial neural networks for the estimation of the probability of default |
Sariev, Eduard; Germano, Guido; |
2020 |
Routledge |
| Machine learning for heat transfer correlations |
Kwon, Beomjin; Ejaz, Faizan; Hwang, Leslie K; |
2020 |
Elsevier |
| Reducing false positives in intrusion detection systems using data-mining techniques utilizing support vector machines, decision trees, and naive Bayes for off-line analysis |
Goeschel, Kathleen; |
2016 |
IEEE |
| A state of the art review of intelligent scheduling |
Fazel Zarandi, Mohammad Hossein; Sadat Asl, Ali Akbar; Sotudian, Shahabeddin; Castillo, Oscar; |
2020 |
Springer Netherlands Dordrecht |
| The state of radiology AI: considerations for purchase decisions and current market offerings |
Tadavarthi, Yasasvi; Vey, Brianna; Krupinski, Elizabeth; Prater, Adam; Gichoya, Judy; Safdar, Nabile; Trivedi, Hari; |
2020 |
Radiological Society of North America |
| Predicting EHL film thickness parameters by machine learning approaches |
Marian, Max; Mursak, Jonas; Bartz, Marcel; Profito, Francisco J; Rosenkranz, Andreas; Wartzack, Sandro; |
2023 |
Springer |
| Automated business process management–in times of digital transformation using machine learning or artificial intelligence |
Paschek, Daniel; Luminosu, Caius Tudor; Draghici, Anca; |
2017 |
EDP Sciences |
| Analysis of GMAW process with deep learning and machine learning techniques |
Martínez, Rogfel Thompson; Bestard, Guillermo Alvarez; Silva, Alysson Martins Almeida; Alfaro, Sadek C Absi; |
2021 |
Elsevier |
| Development of artificial neural network models to assess beer acceptability based on sensory properties using a robotic pourer: A comparative model approach to achieve an artificial intelligence system |
Gonzalez Viejo, Claudia; Torrico, Damir D; Dunshea, Frank R; Fuentes, Sigfredo; |
2019 |
MDPI |
| Classification of soils into hydrologic groups using machine learning |
Abraham, Shiny; Huynh, Chau; Vu, Huy; |
2019 |
MDPI |
| Machine learning for geochemical exploration: classifying metallogenic fertility in arc magmas and insights into porphyry copper deposit formation |
Nathwani, Chetan L; Wilkinson, Jamie J; Fry, George; Armstrong, Robin N; Smith, Daniel J; Ihlenfeld, Christian; |
2022 |
Springer |
| Use of artificial intelligence in healthcare delivery |
Reddy, Sandeep; |
2018 |
IntechOpen London, UK |
| CaPrM: Carbonation prediction model for reinforced concrete using machine learning methods |
Taffese, Woubishet Zewdu; Sistonen, Esko; Puttonen, Jari; |
2015 |
Elsevier |
| PV forecasting using support vector machine learning in a big data analytics context |
Preda, Stefan; Oprea, Simona-Vasilica; Bâra, Adela; Belciu, Anda; |
2018 |
MDPI |
| Simulating occupants' impact on building energy performance at different spatial scales |
Gilani, Sara; O'Brien, William; Gunay, H Burak; |
2018 |
Elsevier |
| Cognitive analytics: Going beyond big data analytics and machine learning |
Gudivada, Venkat N; Irfan, Mohammad T; Fathi, Ehsan; Rao, Dhana L; |
2016 |
Elsevier |
| Leveraging big data tools and technologies: addressing the challenges of the water quality sector |
Ponce Romero, Juan Manuel; Hallett, Stephen H; Jude, Simon; |
2017 |
MDPI |
| Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets |
Tang, Jiayi; Henderson, Alex; Gardner, Peter; |
2021 |
Royal Society of Chemistry |
| Classifying online corporate reputation with machine learning: a study in the banking domain |
Rantanen, Anette; Salminen, Joni; Ginter, Filip; Jansen, Bernard J; |
2020 |
Emerald Publishing Limited |
| Using deep learning to detecting abnormal behavior in internet of things |
Al-Shabi, Mohammed; Abuhamdah, Anmar; |
2022 |
IAES Institute of Advanced Engineering and Science |
| Deception detection with machine learning: A systematic review and statistical analysis |
Constâncio, Alex Sebastião; Tsunoda, Denise Fukumi; Silva, Helena de Fátima Nunes; Silveira, Jocelaine Martins da; Carvalho, Deborah Ribeiro; |
2023 |
Public Library of Science San Francisco, CA USA |
| Thermo-physical properties and heat transfer potential of novel silica-ethylene glycol mono nanofluid: Experiments and multi-layer perceptron (MLP) modelling |
Mukherjee, S; Mishra, PC; Ali, N; Aljuwayhel, NF; Ebrahim, SA; Chaudhuri, P; |
2022 |
Elsevier |
| Identifying wine consumers interested in environmentally sustainable production practices |
Kelley, Kathleen; Todd, Marielle; Hopfer, Helene; Centinari, Michela; |
2022 |
Emerald Publishing Limited |
| Performance based modifications of random forest to perform automated defect detection for fluorescent penetrant inspection |
Shipway, NJ; Huthwaite, P; Lowe, MJS; Barden, TJ; |
2019 |
Springer |
| A sigmoid regression and artificial neural network models for day-ahead natural gas usage forecasting |
Ravnik, J; Jovanovac, J; Trupej, A; Vištica, N; Hriberšek, M; |
2021 |
Elsevier |
| Machine learning derived lifting techniques and pain self-efficacy in people with chronic low back pain |
Phan, Trung C; Pranata, Adrian; Farragher, Joshua; Bryant, Adam; Nguyen, Hung T; Chai, Rifai; |
2022 |
MDPI |
| A natural language processing-based model to automate MRI brain protocol selection and prioritization |
Brown, Andrew D; Marotta, Thomas R; |
2017 |
Elsevier |
| iHorizon-Enabled Energy management for electrified vehicles |
Martinez, Clara Marina; Cao, Dongpu; |
2018 |
Butterworth-Heinemann |
| Smart electricity meter load prediction in Dubai using MLR, ANN, RF, and ARIMA |
Sayed, Heba Allah; William, Ashraf; Said, Adel Mounir; |
2023 |
MDPI |
| Digital transformation trends and innovation |
Guarda, Teresa; Balseca, Joel; García, Kevin; González, Jairon; Yagual, Fabian; Castillo-Beltran, Hernán; |
2021 |
IOP Publishing |
| Machine learning for composition analysis of ssDNA using chemical enhancement in SERS |
Nguyen, Phuong HL; Hong, Brandon; Rubin, Shimon; Fainman, Yeshaiahu; |
2020 |
Optical Society of America |
| A balanced routing protocol based on machine learning for underwater sensor networks |
Alsalman, Latifa; Alotaibi, Eiman; |
2021 |
IEEE |
| Machine-learning approaches for the discovery of electrolyte materials for solid-state lithium batteries |
Hu, Shengyi; Huang, Chun; |
2023 |
MDPI |
| Machine learning and deep learning: a comparative review |
Alaskar, Hind; Saba, TanzilaSaba; |
2021 |
Springer Singapore Singapore |
| [Retracted] Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm |
Zhong, Hongye; Xiao, Jitian; |
2017 |
Hindawi |
| Determining the most accurate machine learning algorithms for medical diagnosis using the monk’problems database and statistical measurements |
Avuçlu, Emre; |
2025 |
Taylor & Francis |
| Comparison of machine learning methods for the classification of cardiovascular disease |
Hagan, Rachael; Gillan, Charles J; Mallett, Fiona; |
2021 |
Elsevier |
| Significance of chloride penetration controlling parameters in concrete: Ensemble methods |
Taffese, Woubishet Zewdu; Sistonen, Esko; |
2017 |
Elsevier |
| Current trends and applications of machine learning in tribology–a review. lubricants 2021, 9, 86 |
Marian, M; Tremmel, S; |
2021 |
s Note: MDPI stays neutral with regard to jurisdictional claims in published … |
| Machine learning to predict binding affinity |
Bitencourt-Ferreira, Gabriela; de Azevedo Jr, Walter Filgueira; |
2019 |
Springer New York New York, NY |
| Neural network model for permeability prediction from reservoir well logs |
Abdel Azim, Reda; Aljehani, Abdulrahman; |
2022 |
MDPI |
| Wavelet‐Based characterization of very‐long‐period seismicity reveals temporal evolution of shallow magma system over the 2008–2018 eruption of Kīlauea volcano |
Crozier, Josh; Karlstrom, Leif; |
2021 |
Wiley Online Library |
| Docker platform aging: a systematic performance evaluation and prediction of resource consumption |
Vinícius, Lucas; Rodrigues, Laécio; Torquato, Matheus; Silva, Francisco Airton; |
2022 |
Springer |
| › Prometheus Bound‹–A Separate Authorial Trace in the Aeschylean Corpus |
Manousakis, Nikos; |
2020 |
Walter de Gruyter GmbH & Co KG |
| Classification of blood cells into white blood cells and red blood cells from blood smear images using machine learning techniques |
Navya, KT; Prasad, Keerthana; Singh, Brij Mohan Kumar; |
2021 |
IEEE |
| The predictive reframing of machine learning applications: good predictions and bad measurements |
Mussgnug, Alexander Martin; |
2022 |
Springer |
| A drone-powered deep learning methodology for high precision remote sensing in California’s coastal shrubs |
Detka, Jon; Coyle, Hayley; Gomez, Marcella; Gilbert, Gregory S; |
2023 |
MDPI |
| Data analysis and modeling techniques of welding processes: The state-of-the-art |
Martinez, Rogfel Thompson; Alfaro, Sadek Crisóstomo Absi; |
2020 |
IntechOpen |
| Task flow identification based on user intent |
Gruber, Thomas Robert; Cheyer, Adam John; Kittlaus, Dag; Guzzoni, Didier Rene; Brigham, Christopher Dean; Giuli, Richard Donald; Bastea-Forte, Marcello; Saddler, Harry Joseph; |
2022 |
Google Patents |
| On the use of machine learning in morphometric analysis |
MACLEOD, NORMAN; |
2017 |
World Scientific |
| A review of tools and techniques for data-enabled formative assessment |
Nyland, Rob; |
2018 |
SAGE Publications Sage CA: Los Angeles, CA |
| Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display |
GROSS, Daniel C; Coffman, Patrick L; Dellinger, Richard R; Gauci, Jason J; Haghighi, Aria D; Irani, Cyrus D; Jones, Bronwyn A; Kapoor, Gaurav; Lemay, Stephen O; Morris, Colin C; |
2021 |
US Patent 11,070,949 |
| Machine learning for supplementing behavioral assessment |
Bailey, Jordan D; Baker, Jonathan C; Rzeszutek, Mark J; Lanovaz, Marc J; |
2021 |
Springer International Publishing Cham |
| Optimal parameters selection of back propagation algorithm in the feedforward neural network |
Wang, Lihua; Ye, Wenjing; Zhu, Yanjuan; Yang, Fan; Zhou, Yueting; |
2023 |
Elsevier |
| A review on machine learning classification technique for bank loan approval |
Karthiban, R; Ambika, M; Kannammal, KE; |
2019 |
IEEE |
| System and method for inferring user intent from speech inputs |
Evermann, Gunnar; |
2023 |
US Patent 11,727,219 |
| Virtual assistant activation |
Lemay, Stephen O; NEWENDORP, Brandon J; DASCOLA, Jonathan R; |
2021 |
US Patent 11,087,759 |
| Automatic recognition of virtual reality sickness based on physiological signals |
Martin, Nicolas; Mathieu, Nicolas; Pallamin, Nico; Ragot, Martin; Diverrez, Jean-Marc; |
2018 |
|
| Density based support vector machines for classification |
Nazari, Zahra; Kang, Dongshik; |
2015 |
The Science and Information Organization |
| Application integration with a digital assistant |
Walker, II Robert A; NEWENDORP, Brandon J; DASARI, Rohit; GIULI, Richard D; Gruber, Thomas R; RADEBAUGH, Carey E; Garg, Ashish; Khosla, Vineet; RUSSELL, Jonathan H; PETERSON, Corey; |
2021 |
Google Patents |
| Low-latency intelligent automated assistant |
Acero, Alejandro; Zhang, Hepeng; |
2022 |
Google Patents |
| Intelligent digital assistant in a multi-tasking environment |
Kudurshian, Aram D; JONES, Bronwyn; Cranfill, Elizabeth Caroline Furches; Saddler, Harry J; |
2021 |
US Patent 11,037,565 |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2021 |
US Patent 10,978,090 |
| Attention aware virtual assistant dismissal |
HINDI, Musa M; DASARI, Rohit; |
2021 |
US Patent 11,009,970 |
| Voice interaction at a primary device to access call functionality of a companion device |
Schramm, Karl Ferdinand; BINDER, Justin; Phipps, Benjamin S; Sung, Po Keng; |
2021 |
US Patent 10,984,798 |
| Automated curve fitting and unsupervised clustering of manganese oxide Raman responses |
Mulè, G; Burlet, C; Vanbrabant, Y; |
2017 |
Wiley Online Library |
| Reducing the need for manual start/end-pointing and trigger phrases |
Piernot, Philippe P; BINDER, Justin; |
2021 |
US Patent 11,133,008 |
| Electronic devices with voice command and contextual data processing capabilities |
Lindahl, Aram M; |
2022 |
Google Patents |
| How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation |
Salminen, Joni; Mustak, Mekhail; Sufyan, Muhammad; Jansen, Bernard J; |
2023 |
Palgrave Macmillan UK London |
| Classification of the central effects of transcutaneous electroacupuncture stimulation (TEAS) at different frequencies: A deep learning approach using wavelet packet decomposition with an entropy estimator |
Uyulan, Çağlar; Mayor, David; Steffert, Tony; Watson, Tim; Banks, Duncan; |
2023 |
MDPI |
| Deformation energy estimation of cherry tomato based on some engineering parameters using machine-learning algorithms |
Kabas, Onder; Kayakus, Mehmet; Ünal, İlker; Moiceanu, Georgiana; |
2023 |
MDPI |
| An implementation of hybrid enhanced sentiment analysis system using spark ml pipeline: a big data analytics framework |
Raviya, K; Vennila, Mary; |
2021 |
Science and Information (SAI) Organization Limited |
| Two-phase flow pressure drop modelling in horizontal pipes with different diameters |
Faraji, Foad; Santim, Christiano; Chong, Perk Lin; Hamad, Faik; |
2022 |
Elsevier |
| Comparison and validation of neural network models to estimate LED spectral power distribution |
Lokesh, J; Padmasali, AN; Mahesha, MG; Kini, SG; |
2023 |
SAGE Publications Sage UK: London, England |
| Predictive procurement insights: B2B business network contribution to predictive insights in the procurement process following a design science research approach |
Gruenen, Jan; Bode, Christoph; Hoehle, Hartmut; |
2017 |
Springer International Publishing Cham |
| Adaptive sinh transformation Gaussian quadrature for 2D potential problems using deep learning |
Zhou, Weiyu; Yang, Xiangjuan; Chen, Yongqiang; |
2023 |
Elsevier |
| A deep learning approach to the acoustic condition monitoring of a sintering plant |
Pasha, Shahab; Ritz, Christian; Stirling, David; Zulli, Paul; Pinson, David; Chew, Sheng; |
2018 |
IEEE |
| Lithofacies prediction from conventional well logs using geological information, wavelet transform, and decision tree approach in a carbonate reservoir in southeastern Brazil |
Carrasquilla, Abel; |
2023 |
Pergamon |
| Open Government Data and Value Creation: Exploring the Roles Canadian Data Intermediaries Play in the Value Creation Process |
Merhi, Salah; |
2023 |
Université d'Ottawa/University of Ottawa |
| Voice identification in digital assistant systems |
PETERSON, Corey J; Jessica, PECK; Biswas, Anumita; SIMMONDS, Harry; |
2023 |
US Patent 11,657,813 |
| Raise to speak |
Lemay, Stephen O; BASTIAN, Michael R; Holenstein, Roman; Jeong, Minwoo; MAALOUF, Charles; NEWENDORP, Brandon J; NIETO, Heriberto; Paek, Timothy; PETERSON, Joanna; SCULLY, Shawn; |
2021 |
US Patent 11,169,616 |
| Work disability risk prediction with machine learning |
Huhta-Koivisto, Tero; |
2020 |
|
| Generation of experimental data for model training to optimize fouling prediction |
Jarmatz, Niklas; Augustin, Wolfgang; Scholl, Stephan; |
2024 |
Springer Berlin Heidelberg Berlin/Heidelberg |
| Identification of evaluation criteria for algorithms used within the context of product development |
Riesener, Michael; Doelle, Christian; Mendl-Heinisch, Michael; Klumpen, Niclas; |
2020 |
Elsevier |
| A Review on Software Testing Using Machine Learning Techniques |
Gautam, Shikha; Khunteta, Ajay; Sharma, Pooja; |
2022 |
IOP Publishing |
| Using machine learning to identify causes of differential item functioning |
Hoover, Jeffrey C; |
2022 |
University of Kansas |
| Modeling and characterization of mechanical properties in laser powder bed fusion additive manufactured Inconel 718 |
Moorthy, Senthamilaruvi; |
2018 |
Colorado School of Mines |
| Bayesi-chain: Intelligent identity authentication |
Blue, Juanita; Condell, Joan; Lunney, Tom; Furey, Eoghan; |
2018 |
IEEE |
| Intelligent automated assistant for TV user interactions |
van Os, Marcel; Saddler, Harry J; Napolitano, Lia T; RUSSELL, Jonathan H; LISTER, Patrick M; DASARI, Rohit; |
2022 |
US Patent 11,516,537 |
| Tekoäly terveydenhuollossa |
Vähäkainu, Petri; Neittaanmäki, Pekka; |
2018 |
Jyväskylän yliopisto |
| Towards an optimal bag-of-features representation for vehicle type classification in thermal infrared imagery |
Akula, Aparna; Ghosh, Ripul; Guleria, Neeraj; Kumar, Satish; Sardana, HK; |
2018 |
SPIE |
| Klasifikasi Pengenalan Buah Menggunakan Algoritma Naive Baiyes |
Saputra, Arif; |
2019 |
|
| Proving yourself: addressing the refugee identity crisis with Bayesi-chain probability & digital footprints |
Blue, Juanita; Condell, Joan; Lunney, Tom; |
2019 |
IEEE |
| Machine learning for automation software testing challenges, use cases advantages & disadvantages |
Ashritha, S; Padmashree, T; |
2020 |
|
| Deep learning driven tool wear identification and remaining useful life prediction |
Zhang, Xiaoyang; |
2020 |
Coventry University |
| Machine learning and evolutionary computing for gui-based regression testing |
Kraus, Daniel; |
2018 |
|
| Detecting a trigger of a digital assistant |
Kim, Yoon; Bridle, John; Atkins, Joshua D; Li, Feipeng; Souden, Mehrez; |
2022 |
Google Patents |
| Designing and implementing Machine Learning Algorithms for advanced communications using FPGAs |
Porcello, John C; |
2017 |
IEEE |
| The role of big data research methodologies in describing investor risk attitudes and predicting stock market performance: deep learning and risk tolerance |
Heo, Wookjae; Kwak, Eun Jin; Grable, John E; |
2022 |
IGI Global Scientific Publishing |
| Ultra-wideband radar simulator for classifying humans and animals based on micro-Doppler signatures |
Langen, Helge; |
2016 |
NTNU |
| Integration of spin squeezed states into free space atomic sensors |
Malia, Benjamin Karl; |
2021 |
Stanford University |
| Design of a daily brief business report generator based on web scraping with KNN algorithm |
Lin, Gang; Liang, Yanchun; Fu, Xiaoyang; Chen, Guangshun; Cai, Shaocan; |
2019 |
IOP Publishing |
| Sentiment Analysis of Visitor Reviews on Hotel In West Sumatera |
Wardani, Sandriyana Kusuma; Ruldeviyani, Yova; |
2021 |
IEEE |
| System and method for processing voicemail |
van Os, Marcel; NOVICK, Gregory B; Herz, Scott M; |
2022 |
US Patent 11,388,291 |
| Addressing data accuracy and information integrity in mHealth solutions using machine learning algorithms |
Sako, Zaid; Adibi, Sasan; Wickramasinghe, Nilmini; |
2019 |
Springer International Publishing Cham |
| Providing relevant data items based on context |
Blatz, John L; Aggarwal, Akshay; BHARGAVA, Radhika; Liu, Daiwei; Ramaswamy, Pallavika; So, Kelvin Ting Pui; |
2021 |
US Patent 11,061,543 |
| Klasifikasi ujaran kebencian pada cuitan dalam bahasa Indonesia |
Antariksa, Kevin; WP, Y Sigit Purnomo; Ernawati, Ernawati; |
2019 |
|
| Brain Based Enterprises: Harmonising the Head, Heart and Soul of Business |
Cook, Peter; |
2018 |
Routledge |
| Integration of strategic open-pit mine planning into hierarchical artificial intelligence |
Quelopana, A; Navarra, A; |
2021 |
The Southern African Institute of Mining and Metallurgy |
| Reducing description length based on confidence |
SINESIO, Andrew James; Coffman, Patrick L; Kline III, Frank-Robert; KUFELDT, Sara E; Macrae, Robert; PARISA, Kranti K; Goyal, Ankur; |
2023 |
US Patent 11,755,276 |
| Molecular investigation of the mechanism of non-enzymatic hydrolysis of proteins and the predictive algorithm for susceptibility |
Lauer, Timothy M; Wood, Geoffrey PF; Farkas, David; Sathish, Hasige A; Samra, Hardeep S; Trout, Bernhardt L; |
2016 |
ACS Publications |
| Machine learning flow regime classification in three-dimensional printed tubes |
Kang, Munku; Hwang, Leslie K; Kwon, Beomjin; |
2020 |
American Physical Society |
| A framework for sentiment analysis in customer product reviews using machine learning |
Rekha, KB; Gowda, Naveen Chandra; |
2020 |
IEEE |
| An intellegent vehicle oriented EMC reverse diagnostic model based on SVM |
Lei, Jianmei; Mu, Jie; Zeng, Lingqiu; Han, Qingwen; Hu, Longbiao; Chen, Xu; Chen, LiDong; |
2020 |
IEEE |
| Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management |
Tazhiyeva, Aziza; |
2018 |
|
| Virtual product development using simulation methods and ai |
Zimmerling, Clemens; Poppe, Christian; Kärger, Luise; |
2019 |
Springer |
| Digital assistant hardware abstraction |
Hansen, Bryan; Ghotbi, Nikrouz; Gui, Yifeng; Huang, Xinyuan; Phipps, Benjamin S; Ray, Eugene; Shanbhag, Mahesh Ramaray; Tecarro, Jaireh; WATTAL, Sumit; |
2023 |
US Patent 11,765,209 |
| Determining the best estimation model with tree-based machine learning methods: implementation on customer spendings for e-commerce websites |
Yalçın, Mehmet; Bağdatlı Kalkan, Seda; |
2022 |
Pushpa Publishing House |
| Spoken notifications |
York, William M; GUPTA, Gagan A; Huang, Xinyuan; NIETO, Heriberto; Phipps, Benjamin S; Piersol, Kurt; |
2023 |
US Patent 11,705,130 |
| Attention aware virtual assistant dismissal |
HINDI, Musa M; DASARI, Rohit; |
2022 |
US Patent 11,360,577 |
| Application integration with a digital assistant |
Walker, II Robert A; NEWENDORP, Brandon J; DASARI, Rohit; GIULI, Richard D; Gruber, Thomas R; RADEBAUGH, Carey E; Garg, Ashish; Khosla, Vineet; RUSSELL, Jonathan H; PETERSON, Corey; |
2023 |
US Patent 11,749,275 |
| APPLICATION OF AI/ML/NLP TECHNOLOGY INTO THE BUSINESS PROCESS MODELLING |
Godbole, Milind; Agarwal, Anuja; Sahay, B; |
2021 |
|
| Determining head pose based on room reverberation |
Malik, Sarmad Aziz; MADDIKA, Sreeneel; Naik, Devang K; |
2022 |
US Patent 11,290,834 |
| Method and system for operating a multifunction portable electronic device using voice-activation |
Freeman, Daniel; Barrentine, Derek B; |
2023 |
Google Patents |
| Systems and methods for integrating third party services with a digital assistant |
Gruber, Thomas R; Brigham, Christopher D; Cheyer, Adam J; Keen, Daniel; Kocienda, Kenneth; |
2022 |
Google Patents |
| Convolution Neural Network Fault Identifier in Distribution Network in the Presence of Distribution Generation Units |
Ebeed, Mohammed; Hossam-Eldin, Ahmed; |
2022 |
IEEE |
| Cybersecurity becomes smart using artificial intelligent and machine learning approaches: An overview |
Hamadah, Siham; Aqel, Darah; |
2020 |
|
| Transforming food production: Smart containers for sustainable and transparent food supply chains |
Burggräf, Peter; Adlon, Tobias; Steinberg, Fabian; Salzwedel, Jan; Nettesheim, Philipp; Tschauder, Henning; |
2023 |
Springer Nature Switzerland Cham |
| Digitale Wissensorganisation: Wissenszurechnung beim Einsatz autonomer Systeme (Volume 5, Edition 1) |
Linke, Christian; |
2021 |
Nomos Verlagsgesellschaft mbH & Co. KG |
| Intelligent assistant for home automation |
Orr, Ryan M; Nell, Garett R; Brumbaugh, Benjamin L; |
2023 |
US Patent 11,699,448 |
| Application of Machine Learning Methods for Estimating the Fuel Consumption of Locomotives for Switching Service |
Ovcharenko, Sergei; Chetvergov, Vitalii; Minakov, Vitalii; |
2021 |
Elsevier |
| Volumetric estimates in eucalyptus stands using support vector machines and artificial neural networks |
Cordeiro, Márcio Assis; Arce, Julio Eduardo; Guimarães, Fabiane Aparecida Retslaff; Bonete, Izabel Passos; Silva, Anthoinny Vittória dos Santos; Abreu, Jadson Coelho de; Binoti, Daniel Henrique Breda; |
2022 |
|
| Exploring the capabilities of machine learning (ML) for 1D blood flow: Application to coronary flow |
Sklet, Vilde; |
2018 |
NTNU |
| Green plant leaf disease detection using K-means segmentation, color and texture features with support vector machine and random forest classifier |
Singh, Ashutosh Kumar; Chourasia, B; Raghuwanshi, N; Raju, K; |
2021 |
|
| Time Series Forecasting Applied to an Energy Management System‐A Comparison Between Deep Learning Models and Other Machine Learning Models |
Arienti, João Henrique Leal; |
2020 |
Universidade NOVA de Lisboa (Portugal) |
| Resources Anytime, Anywhere: How Interlibrary Loan Becomes Resource Sharing |
Litsey, Ryan; |
2017 |
Chandos Publishing |
| A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
Shafi, Muhammad Ammar; Rusiman, Mohd Saifullah; Ismail, Shuhaida; Kamardan, Muhamad Ghazali; |
2019 |
Science and Information (SAI) Organization Limited |
| From physical to virtual: leveraging drone imagery to automate photovoltaic system maintenance |
Lowin, Maximilian; Kellner, Domenic; Kohl, Tobias; Mihale-Wilson, Cristina; |
2021 |
Gesellschaft für Informatik, Bonn |
| Neural networks for the generation of sea bed models using airborne lidar bathymetry data |
Kogut, Tomasz; Niemeyer, Joachim; Bujakiewicz, Aleksandra; |
2016 |
Polska Akademia Nauk |
| Data Mining for Emotional Analysis of Big Data |
Abhijith, Geda Sai Venkata; Gundad, Amit Kumar Vinayak; |
2023 |
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| Simulating data center cooling systems: data-driven and physical modeling methods |
Siltala, Mikko; |
2020 |
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| Decision trees applied to fault locations in distribution systems with smart meters |
Araújo, Marcel Ayres de; Flauzino, Rogério Andrade; Moraes, Lucas Assis de; Borges, Fábbio Anderson Silva; Spatti, Danilo Hernane; |
2019 |
IEEE |
| Classification studies on vibrational patterns of distributed fiber sensors using machine learning |
Pranay, Yada Sai; Tabjula, Jagadeeshwar; Kanakambaran, Srijith; |
2022 |
IEEE |
| Providing relevant data items based on context |
Blatz, John L; Aggarwal, Akshay; BHARGAVA, Radhika; Liu, Daiwei; Ramaswamy, Pallavika; So, Kelvin Ting Pui; |
2022 |
US Patent 11,531,456 |
| Accuracy vs Efficiency: Machine Learning Enabled Anomaly Detection on the Internet of Things |
Wu, Xin-Wen; Cao, Yongtao; Dankwa, Richard; |
2022 |
IEEE |
| Determining estuarine seagrass density measures from low altitude multispectral imagery flown by remotely piloted aircraft |
Martin, Ross David; |
2020 |
The University of Waikato |
| Principles and theories of data mining with RapidMiner |
Ramjan, Sarawut; Sunkpho, Jirapon; |
2023 |
IGI Global |
| Artificial Intelligence-an agenda for management sciences |
Jarosz, Szymon; |
2023 |
Szkoła Główna Handlowa w Warszawie, Fundacja Promocji i Akredytacji … |
| Comparative Study of Binary Classifiers for Reducing False Negative Detection of Melanoma in Skin Lesions |
Jooravan, Amith; Reddy, Serendra; Pillay, Nelendran; |
2022 |
IEEE |
| Leveraging machine learning to identify quality issues in the Medicaid claim adjudication process |
Hoseini, Cyrus; |
2020 |
Indiana State University |
| Predicting disability progression in secondary progressive multiple sclerosis by machine learning: a comparison of common methods and analysis of data limitations |
Law, Marco; |
2019 |
University of British Columbia |
| Umjetna inteligencija danas |
Kovač, Lorena; |
2015 |
University of Rijeka. Faculty of Humanities and Social Sciences. Department … |
| Physically Inspired Predistortion of RF Power Amplifiers with Artificial Neural Networks |
Jüschke, Patrick; |
2023 |
Dissertation, Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg … |
| Modelo de pronóstico de rendimiento académico de alumnos en los cursos del programa de estudios básicos de la Universidad Ricardo Palma usando algoritmos de Machine Learning |
Vega García, Javier Fernando; |
2019 |
Universidad Ricardo Palma |
| Advanced Scientific Methods and Tools in Sustainable Forest Management: A Synergetic Perspective |
Khaiter, Peter A; Erechtchoukova, Marina G; |
2022 |
Springer |
| Predictive Analytics in an Intensive Care Unit by Processing Streams of Physiological Data in Real-time |
Hagan, Rachael; |
2022 |
Queen's University Belfast |
| Whats on your Tensors? A Design exploration of applied artifical intelligence to help facilitate digital equity. |
Campbell-Redl, Rebecca; |
2023 |
Open Access Te Herenga Waka-Victoria University of Wellington |
| Comparison of Machine Learning and Standard Credit Risk Models' Performances in Credit Risk Scoring of Buy Now Pay Later Customers |
Taş, Caner; |
2023 |
Middle East Technical University (Turkey) |
| Automatic detection of melanoma in dermoscopic images of skin lesions |
Jooravan, Amith; |
2023 |
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| User and Entity Behavior Anomaly Detection using Network Traffic |
Carlsson, Oskar; Nabhani, Daniel; |
2017 |
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| Constitutive Modelling in Hyperelasticity with Neural Networks |
da Silva Carvalho, Eduardo; |
2023 |
Universidade do Porto (Portugal) |
| Machine learning using neural networks in digital signal processing for RF transceivers |
Jueschke, Patrick; Fischer, Georg; |
2017 |
IEEE |
| Generating 3D Scenes From Single RGB Images in Real-Time Using Neural Networks |
Grundberg, Måns; Altintas, Viktor; |
2021 |
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| Anfis ve regresyon analizi ile enflasyon tahmini ve karşılaştırması |
İLYAS, Tanriverdi; URFALIOĞLU, Fatma; |
2018 |
Denta Florya ADSM Limited Company |
| Automated thai online assignment scoring |
Thongyoo, Thannicha; Saelee, Somkid; Krootjohn, Soradech; |
2016 |
IEEE |
| Social Support Seeking Behaviors and Provision in Online Communities: Associations Between Social Support Seeking Behaviors and Social Support Received |
Wei, Xiaofei; |
2022 |
The University of Wisconsin-Madison |
| Hardware implementation of elliptic curve cryptography based on residue number systems |
Mehrabi, Mohamad Ali; |
2020 |
Macquarie University |
| Potential of Data-Driven Approaches for Modeling Heat and Mass Convection Processes |
Kang, Munku; |
2022 |
Arizona State University |
| Inteligencia artificial y datos masivos en archivos digitales sonoros y audiovisuales |
Rodríguez Reséndiz, Perla Olivia; |
2020 |
Universidad Nacional Autónoma de México. Instituto de Investigaciones … |
| Evolutionary algorithm for solving supervised classification problems: An experimental study |
Soto, Daniel; Soto, Wilson; |
2022 |
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| Evolution and facets of data analytics for educational data mining and learning analytics |
Gudivada, Venkat N; Rao, Dhana L; Ding, Junhua; |
2018 |
Routledge |
| Enhancing the impact of color through artificial intelligence for visual narration |
Han, Youngsue; Roh, Hyunjung; Kim, Jaehoon; Hwang, Suhyoun; |
2018 |
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| Detection of malicious code using the direct hashing and pruning and support vector machine |
Ju, YeongJi; Kim, MinGu; Shin, JuHyun; |
2020 |
Wiley Online Library |
| Solving Problems, One Role at a Time |
Dunér, Felix; Johansson, Eric; |
2023 |
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| Determination of emotional state through physiological measurement |
Hinkle, Lee B; |
2016 |
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| A Learned Polyalphabetic Decryption Cipher |
Hewage, Chaminda; Jayal, Ambikesh; Jenkins, Glenn; Brown, Ryan J; |
2022 |
Cardiff Metropolitan University |
| Use of predictive analytics in B2B sales lead generation |
Lindberg, Anna-Maria; |
2018 |
Haaga-Helia ammattikorkeakoulu |
| Labelling the psychological impact of colour in films for deep learning processing based on the humanities approach: RGB information in colour classification in film |
Han, Youngsue; Roh, Hyunjung; Whelan, Thomas; Hwang, Suhyoun; Kim, Minju; |
2022 |
Sveučilište u Rijeci, Medicinski fakultet, Katedra za društvene i … |
| Redesigning Post-Operative Processes Using Data Mining Classification Techniques |
Ghazi Alwattar, Hayder; |
2021 |
Universiti Malaysia Pahang |
| Deep transfer learning in medical imaging |
Kaliyugarasan, Sathiesh Kumar; |
2019 |
The University of Bergen |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2023 |
US Patent 11,557,310 |
| Application of Supervised Machine Learning to Search for Nuclear Fallout Analytes that Identify Explosive Type |
Risenmay, Matthew Allan; |
2023 |
North Carolina State University |
| Using Spectral Analysis and Fluid Dynamics to Understand Supraglacial Stream Networks on the Greenland Ice Sheet and Seismicity at Kilauea Volcano |
Crozier, Joshua; |
2021 |
University of Oregon |
| GPU-accelerated Apriori algorithm |
Jiang, Hao; Xu, Chen-Wei; Liu, Zhi-Yong; Yu, Li-Yan; |
2017 |
EDP Sciences |
| SERS-based ssDNA composition analysis using chemical enhancement and machine learning methods |
Hoang, Lan Phuong Nguyen; |
2022 |
University of California, San Diego |
| Digitalization technologies and business trends in procurement |
Grünen, Jan; |
2021 |
Universitaet Mannheim (Germany) |
| Supplier Data Analysis and Utilization in Supply Chain Management: Case ABB Smart Power |
Hahto, Miika; |
2023 |
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| System for Sentiment Analysis of Big Text Data |
Atanassov, A; Al-Barznji, K; Tomova, F; |
2018 |
Scientific Technical Union of Mechanical Engineering" Industry 4.0" |
| Obstacle detection in autonomous vehicles using deep learning |
Omoifo, Darlington; |
2018 |
Metropolia Ammattikorkeakoulu |
| Novel Approaches to Pervasive and Remote Sensing in Cardiovascular Disease Assessment |
de Noronha Osório, Daniel Faustino; |
2022 |
Universidade NOVA de Lisboa (Portugal) |
| Exploration of Data Science Techniques in Predicting StudentsT Relevant Courses of Study on Getting to Higher Institutions |
MURAINA, Ismail Olaniyi; |
2022 |
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| Prognosis of Diabetes Mellitus with Transfer Learning-Based Naïve Bayes Method |
Andriani, A; Hartati, S; |
2021 |
IOP Publishing |
| Identification of business travelers through clustering algorithms |
Piggott, JJH; |
2015 |
University of Twente |
| Data accuracy in mHealth |
Sako, Zaid Zekiria; Karpathiou, Vass; Wickramasinghe, Nilmini; |
2016 |
Springer International Publishing Cham |
| OPEN GOVERNMENT DATA AND VALUE CREATION |
Merhi, Salah; |
2022 |
University of Ottawa |
| A search for computationally efficient supervised learning algorithms of anomalous traffic |
Jeong, Hae-Duck J; Jeong, Gil-Seong; Kim, Won-Jung; Kim, Jinwon; Song, Hanbin; Ryu, Myeong-Un; Lee, Jongsuk R; |
2017 |
Springer International Publishing Cham |
| A Data Processing, Feature Engineering, Variable Selection, and Machine Learning Modeling Framework for Predictive Agriculture |
Hunt, Rachelle Lee; |
2022 |
North Carolina State University |
| Unboxing The Algorithm: Understandability And Algorithmic Experience In Intelligent Music Recommendation Systems |
Schröder, Anna Marie; |
2021 |
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| Distributed reinforcement learning in emergency response simulation |
Lopez, Cesar; Marti, José R; Sarkaria, Sarbjit; |
2018 |
IEEE |
| Policy Direct Search for Effective Reinforcement Learning |
Peng, Yiming; |
2019 |
Open Access Te Herenga Waka-Victoria University of Wellington |
| Digitale Wissensorganisation: Wissenszurechnung beim Einsatz autonomer Systeme (Volume 5, Edition 1) |
Linke, Christian; |
2021 |
Nomos Verlagsgesellschaft mbH & Co. KG |
| Finding Trends in the B2B Textile Sector using Machine Learning |
Sáez Martínez, Javier; |
2021 |
Consejo Superior de Investigaciones Científicas (España) |
| Aplicación de herramientas de ML a la predicción de tendencias en función del análisis de históricos de ventas B2B |
Sáez Martínez, Javier; |
2021 |
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| Exploring the potential for machine learning techniques to aid in categorizing electron trajectories during magnetic reconnection |
Nyman, Måns; Ulug, Caner Naim; |
2020 |
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| Risk Analysis of Diabetic Patient Using Map-Reduce and Machine Learning Algorithm |
Dharwadkar, Nagaraj V; Poojara, Shivananda R; Kannur, Anil K; |
2021 |
IGI Global Scientific Publishing |
| Comprehensive survey on data science, lifecycle, tools and its research issues |
Jain, Shaveta; |
2022 |
IEEE |
| Business Intelligence řešení pro společnost 1188 |
Kříž, Jan; |
2015 |
Vysoké učení technické v Brně. Fakulta podnikatelská |
| Gas-condensate Reservoir Performance Modelling |
Faraji, Foad; |
2021 |
Teesside University |
| Estimativas volumétricas em povoamentos de eucalipto utilizando máquinas de vetores de suporte e redes neurais artificiais |
Cordeiro, Márcio Assis; Arce, Julio Eduardo; Guimarães, Fabiane Aparecida Retslaff; Bonete, Izabel Passos; Silva, Anthoinny Vittória dos Santos; Abreu, Jadson Coelho de; Binoti, Daniel Henrique Breda; |
2022 |
Instituto de Ecología AC |
| A Comparative study of cancer detection models using deep learning |
Omar Ali, Nasra; |
2020 |
Malmö universitet/Teknik och samhälle |
| Calidad de vida laboral y los estilos de vida saludable en profesionales de Enfermería del servicio de Emergencia pediatría de un hospital público de Lima, 2023 |
Quispe Francia, Lizceth Betzabeth; Arauco Surichaqui, Evelyn Giovana; |
2024 |
Universidad Peruana Unión |
| Makine öğrenmesi algoritmaları ile nüfus tahmini: Türkiye örneği |
Şahinarslan, Fatih Veli; |
2019 |
Sosyal Bilimler Enstitüsü |
| Kredi Temerrüt Riskini Tahmin Etmede Makine Öğrenme Algoritmalarının Karşılaştırılması |
Tütüncü, Toprak Enes; Gürsakal, Sevda; |
2023 |
Osman SAĞDIÇ |
| Ethical assessment of AI systems in healthcare: A use case |
Laufenberg, Frederike; |
2021 |
Goethe University Frankfurt |
| Machine learning for identifying how much women and men talk in meetings |
Wellander, Matilda; Sintorn, Vera; |
2022 |
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| A study into intelligent Neutral Section fault monitoring system on the Coal line using wireless sensor networks |
Phala, KM; Doorsamy, W; Paul, BS; |
2019 |
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| Machine Learning based on Cloud Solutions |
Chmielecki, Przemysław; |
2019 |
Wydawnictwo Oświatowe FOSZE |
| Machine Learning in Healthcare: Identifying Pneumonia with Artificial Intelligence |
Syed, Maria; |
2018 |
Metropolia Ammattikorkeakoulu |
| Eğitim alanında makine öğrenimi sınıflandırma algoritmalarının incelenmesi |
Can, Canay; |
2021 |
Akdeniz Üniversitesi |
| Forecasting stock index trend with Support Vector Machine and Long-Short term memory: a case study of models fitted on OMXH25 data |
Härkönen, Emilia; |
2021 |
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| Questions from a Contraceptive Pill Junkie: Applying Human Psychometrics to Investigate Gender Bias in Machine Learning |
Darney, Hazel; |
2020 |
Open Access Te Herenga Waka-Victoria University of Wellington |
| Modelling of A Flow Meter through Machine Learning |
Yan, Bing; Zhang, Jianyong; Cheng, Ruixue; Liu, Chenhua; |
2020 |
IEEE |
| Machine learning solutions for exception handling |
Fennis, Justin; |
2019 |
University of Twente |
| Automated classification of bibliographic data using SVM and Naive Bayes |
Nordström, Jesper; |
2018 |
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| Artificial intelligence-based process for metal scrap sorting |
Auer, Maximilian; Osswald, Kai; Volz, Raphael; Woidasky, Joerg; |
2019 |
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| Algoritmi de recunoaștere automată a gesturilor mâinii, captate prin contracția mușchilor |
KOVALSKII, Vladislav; |
2022 |
Universitatea Tehnică a Moldovei |
| Enhancement of vehicular ad hoc networks using machine learning-based prediction methods |
Lemus Cárdenas, Leticia; |
2020 |
Universitat Politècnica de Catalunya |
| Evaluating the Performance of Person-Fit Detection Methods in Diagnostic Classification Models |
Hoover, Jeffrey C; Thompson, W Jake; |
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| A machine learning tool to match 2D drawings and 3D objects’ category for populating mockups in VR |
Terrier, Romain; Martin, Nicolas; |
2020 |
Springer International Publishing Cham |
| Very-long-period seismicity over the 2008-2018 eruption of Kilauea Volcano |
Crozier, Joshua A; Karlstrom, Leif; |
2022 |
Authorea |
| Data Driven Approach to Enhancing Efficiency and Value in Healthcare |
Guerrero Ludueña, Richard E; |
2017 |
Universitat de Barcelona |
| Hybrid Dimensionality Reduction Model for Classification of Ribonucleic Acid Sequencing Malaria Vector Dataset |
Arowolo, Micheal Olaolu; |
2021 |
Landmark University |
| A methodology to support online monitoring and control of complex processes in the foundry industry using machine learning |
Alvi, Saad Bashir; |
2023 |
Dissertation, Duisburg, Essen, Universität Duisburg-Essen, 2023 |
| Hybrid Computational Intelligence and the Basic Concepts and Recent Advances |
Dounias, Georgios; |
2018 |
IGI Global Scientific Publishing |
| Application of machine learning in digital logic circuit design verification and testing |
Dave, Abhilasha Harsukhbhai; |
2018 |
California State University, Fresno |
| Prediktiva system för kreditbedömning: En studie om hur prediktiva system påverkar kreditbedömares agerande |
Kahsay, Solomona; |
2020 |
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| No Mere Deodands: Human Responsibilities in the Use of Violent Intelligent Systems Under Public International Law |
Bento, Lucas VM; |
2016 |
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| Comparison of regression methods and tools using the example of predicting the success of graduate master’s students in different fields of education |
Karić, Katarina; Gaborović, Andrijana; Blagojević, Marija; Milošević, Danijela; Mitrović, Katarina; Plašić, Jelena; |
2022 |
University of Kragujevac, Faculty od Technical Sciences, Čačak |
| GAS TURBINE POWER PLANT BENCHMARKING AND OPTIMI-ZATION WITH MACHINE LEARNING IN INDUSTRIAL INTERNET ENVIRONMENT |
HARMAALA, TUUKKA; |
2018 |
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| Chord transition features for style classification of music recordings |
Brand, Fabian; Weiß, Ing Christof; Müller, Meinard; |
2018 |
Friedrich-Alexander-Universität Erlangen-Nürnberg |
| On the feasibility and impact of digital fingerprinting for system recognition |
Hupperich, Thomas; |
2017 |
Ruhr University Bochum, Germany |
| A Recommendation Algorithm of Insurance’s Productss Based on Optimal Collaborative Filtering |
Zhou, Zhenyi; Su, Mo; |
2021 |
VDE |
| Desenvolvimento de método para avaliação de falhas em linhas de transmissão utilizando árvores de decisão e modelos de Markov |
Paiva, Eduardo Barbosa Mello; |
2023 |
Universidade de São Paulo |
| Exploring best practices for employee engagement in a retail company located in Ecuador supported by Machine Learning Algorithms. |
Davila, MA; |
2017 |
University of Liverpool |
| Cleaner and Responsible Consumption |
Frank, Pascal; Heimann, Katrin; Kolbe, Viktoria; Schuster, Carolin; |
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| Methodology for an Augmented Business Process Management in IoT Environment |
de Rabat, Mohammed V; Ismaili-Alaoui, Abir; |
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| Internet of Things (IoT) Anomaly Detection Using Machine Learning Techniques: Parameter Optimization and Algorithm Comparison |
Dankwa, Richard Wahyee; |
2021 |
Indiana University of Pennsylvania |
| Makine öğrenmesi algoritmaları ile kredi temerrüt riskini tahmin etme |
Tütüncü, Toprak Enes; |
2022 |
Bursa Uludag University (Turkey) |
| An Equipment Scheduling System using AI-Based Authentication |
Wamala, Rodrick Calvin; |
2020 |
|
| A Machine Learning Framework for Optimising File Distribution Across Multiple Cloud Storage Services |
Algarni, Abdullah Fayez H; |
2017 |
University of York |
| APPLICATION OF MACHINE LEARNING TECHNIQUES IN THE PREDICTION OF CHEMICAL COMPOSITION OF METALLIC CHARGE RECIPES |
Zanca, João Pedro Peruchi; de Azevedo, Luiz Maurício Barreto; da Silva, Aneirson Francisco; |
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| Facultad de Enfermería |
EL, FACTORES PERSONALES QUE INFLUYEN EN; DE, ALUMNADO; GRADO, DEL; |
2019 |
Universidad Inca Garcilaso de la Vega |
| Detection of Malicious Code using Association Rule Mining and Naive Bayes classification |
Ju, Yeongji; Kim, Byeongsik; Shin, Juhyun; |
2017 |
Korea Multimedia Society |
| Uncertainty assessment of component degradation model based on support vector regression |
Yang, Chunzhen; Liu, Jingquan; Zeng, Yuyun; Saeed, Muhammad; |
2016 |
American Society of Mechanical Engineers |
| Pattern Analysis of Traffic Accident data and Prediction of Victim Injury Severity Using Hybrid Model |
Ju, Yeong Ji; Hong, Taek Eun; Shin, Ju Hyun; |
2016 |
THE KOREAN INSTITUTE OF SMART MEDIA |
| A machine learning approach to the unsupervised segmentation of mitochondria in subcellular electron microscopy data |
Dietlmeier, Julia; |
2016 |
Dublin City University |
| Data accuracy considerations with mHealth |
Sako, Zaid Zekiria; Karpathiou, Vass; Adibi, Sasan; Wickramasinghe, Nilmini; |
2020 |
IGI Global |
| Machine Learning Derived Lifting Technique in People without Low Back Pain |
Phan, Trung C; Pranata, Adrian; Farragher, Joshua B; Bryant, Adam L; Nguyen, Hung T; Chai, Rifai; |
2023 |
IEEE |
| Mining Social Media for Conflict Prevention and Resolution |
Mensah, KP; Akobre, S; |
2015 |
African Journal of Computing & ICT |
| AI in management-research trends |
Jarosz, Szymon; Karyś, Zuzanna; |
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| Distributed Laser Therapy System |
Jevremović, Aleksandar; |
2020 |
Singidunum University |
| Convolution Neural Network Fault Identifier In Distribution Network In The Presence of Distribution Generation Units |
Authority, Alexandria Port; |
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|
| Análisis de estados contables aplicando XBRL y herramientas de inteligencia de negocios |
Campanaro, Rosa S; Díaz, Daniel J; Gardenal, Luciano; Marchese, Alicia G; |
2016 |
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| DEFAULT PREDICTION |
Kjøller-Hansen, Andreas; Jensen, Sara Skovhøj; |
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| Yapay Sinir Ağı Kontrollü Otonom RC Araç Uygulaması |
Şanlı, Erdem; |
2018 |
İstanbul Gelişim Üniversitesi Fen Bilimleri Enstitüsü |
| Auto-Labelling of Text Data Using Unsupervised Learning |
Alghamdi, Jehan Mohammed Ali; |
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| DATA LEAKAGE PROBLEM IN MACHINE LEARNING |
Pavlova, Ksenia; Makarenkova, Vera; |
2022 |
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| Seismic response estimation of timber buildings via advanced data science methods |
Maluje, Sebastián Enrique Aedo; |
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| Comparación de técnicas de minería de datos para descubrir información relevante de ventas de una Mype comercial |
Miñano Sanchez, Carlos Johny; |
2022 |
Universidad Señor de Sipán |
| Intelligent audio mastering |
Chen, Manni; |
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| Kotiin vietävien teknologiapalveluiden konseptointi: ICMT-palvelut kotihoidossa |
Niemi, Sini-Tuulia; |
2023 |
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| Stock Price Prediction of PT. Kimia Farma, Tbk Using Bayesian Ridge Algorithm |
Iqbal, Aldy Mercyano; Setiadi, Indra Tresna; Pratama, Aditya Dhian; Imelda, Imelda; |
2023 |
|
| Fundamentos para uma autonomia científica do direito digital no ordenamento jurídico brasileiro |
Berni, Duilio Landell de Moura; |
2022 |
Pontifícia Universidade Católica do Rio Grande do Sul |
| Computer Vision Gesture Recognition for Rock Paper Scissors |
Hunter, Nicholas; |
2020 |
|
| Using Machine Learning to Detect and Categorize the Presence of Cancer |
Challenge, Supercomputing; Hennelly, Haven; Meadowcroft, Max; Solfest, Sawyer; Galligan, Tracy; |
2021 |
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| Techno-Economic Feasibility of Eavor-Loop Green Hydrogen Production |
Naylor, Annika; |
2023 |
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| Klasifikacija i analiza poljoprivrednih zemljišta u Donjem Međimurju pomoću podataka misija Sentinel |
Golomboš, Josipa; |
2022 |
University of Zagreb. Faculty of Science. Department of Geography |
| Sistema domótico para personas con capacidad limitada de movimiento en la extremidad superior derecha utilizando reconocimiento de gestos de la mano y algoritmos de Machine Learning |
Martinez Velasco, Ronnie Julian; |
2022 |
Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas … |
| Asiakaspoistuman ennustaminen päätöspuuhun perustuvien koneoppimismallien avulla-Case vakuutusyhtiö |
Malmi, Jalmari; |
2023 |
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| Design and analysis of a learning-based testing system for certification of vehicle systems |
Markros, Adam; |
2019 |
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| Espectroscopía con imágenes hiperespectrales y detección de bandas principales para estimar parámetros de control de calidad en la harina de pescado con modelos de Machine Learning |
Criollo Saavedra, Antonio Carlo; Merino Arellano, Tulio André; |
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Universidad de Piura |
| The product manager in the artificial intelligence world |
Singh, Manjeet; |
2019 |
Instituto de Inovação e Gestão de Desenvolvimento do Produto |
| Automatisierung der Standortauswahl in der Fabrikplanung |
Vierschilling, Sebastian Patrick; |
2022 |
Dissertation, RWTH Aachen University, 2022 |
| The Relationship Between Legal Technology and the Representations and Warranties Clause |
Arppe, Heidi; |
2019 |
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| Integración de la red neuronal convolucional con el algoritmo de función de frontera de objeto para reconocimiento de piezas y detección de defectos |
Rodriguez, Y Basulto; |
2018 |
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| TILBURG LAW SCHOOL |
POLAT, YUSUF BURAK; |
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| Previsão de preços de commodities agrícolas via algoritmos de aprendizagem de máquina |
Ludovico, Sérgio Nunes; Salgado, Ricardo Menezes; Beijo, Luiz Alberto; Miguel, Eliseu Cesar; Rezende, Marcelo Lacerda; |
2022 |
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| Relevantnost informacijskega priklica pri strojnem učenju za binarno besedilno klasifikacijo |
Marijan, Robert; |
2020 |
University of Maribor (Slovenia) |
| Übertriebene Wertversprechen und Erwartungen im Startup-Crowdinvesting |
Moosbrugger, Martin; |
2021 |
Springer |
| Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization |
Walter, Matthias; Vasyutynskyy, Volodymyr; Trinh, Duc Anh; Leyh, Christian; |
2019 |
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| Using Deep Learning to Predict Back Orders: A study in the Volvo Group Aftermarket Supply Chain |
Bouganim, Jakob; Olsson, Konrad; |
2019 |
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| Deteccion de la enfermedad de Alzheimer a partir de neuroimagenes mediante el uso de tecnicas de Inteligencia Artificial |
Carrillo López, Cristhian David; Castrillón Calderón, Camilo Andrés; |
2021 |
Universidad Autonoma de Occidente |
| Raise to speak |
Lemay, Stephen O; BASTIAN, Michael R; Holenstein, Roman; Jeong, Minwoo; MAALOUF, Charles; NEWENDORP, Brandon J; NIETO, Heriberto; Paek, Timothy; PETERSON, Joanna; SCULLY, Shawn; |
2022 |
US Patent 11,487,364 |
| Zero latency digital assistant |
Stasior, William F; Carson, David A; DASARI, Rohit; Kim, Yoon; |
2023 |
US Patent 11,550,542 |
| Digital assistant integration with telephony |
Chinthakunta, Madhusudan; Ong, Ping Wen; Paek, Timothy S; TAPPANA, Lauren Elise; van Os, Marcel; |
2023 |
US Patent 11,595,517 |
| Multiple state digital assistant for continuous dialog |
MADDIKA, Sreeneel; ABDELAZIZ, Ahmed Serag El Din HUSSEN; MANNEMALA, Chaitanya; Vishnubhotla, Srikanth; Weinberg, Garrett L; |
2023 |
US Patent 11,756,574 |
| User identification using headphones |
Gong, Jun; Laput, Gierad; |
2023 |
US Patent 11,696,060 |
| User configurable task triggers |
Meyer, Joseph E; Champagne, Kelan; DE, Joao Pedro DE ALMEIDA FORJAZ; GUSEV, Aleksandr; KRAMER, Conrad B; Li, Yuan; WEINSTEIN, Ari; |
2023 |
US Patent 11,675,491 |
| User identification using headphones |
Gong, Jun; Laput, Gierad; |
2023 |
US Patent 11,750,962 |
| Low-latency intelligent automated assistant |
Acero, Alejandro; Zhang, Hepeng; |
2022 |
Google Patents |
| User-specific acoustic models |
Paulik, Matthias; Mason, Henry G; Skinder, Jason A; |
2023 |
Google Patents |
| Maintaining privacy of personal information |
NEWENDORP, Brandon J; PETERSON, Joanna S; |
2022 |
US Patent 11,467,802 |
| Intelligent digital assistant in a multi-tasking environment |
Kudurshian, Aram D; JONES, Bronwyn; Cranfill, Elizabeth Caroline Furches; Saddler, Harry J; |
2023 |
US Patent 11,657,820 |
| Nuove tecnologie, diritti e modelli di regolamentazione. L'Intelligenza Artificiale come nuova frontiera per il diritto costituzionale |
Fasan, Marta; |
2021 |
Università degli studi di Trento |
| Intelligent automated assistant for media exploration |
Graham, David Chance; Irani, Cyrus Daniel; Piercy, Aimee; Alsina, Thomas; |
2023 |
Google Patents |
| Determination of Fundamental Attributes of Phishing Attacks |
Ünlü, Nafiz; UÇAR, Özlem; Özhan, Erkan; |
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| Multi-command single utterance input method |
Gruber, Thomas R; Saddler, Harry J; Bellegarda, Jerome Rene; NYEGGEN, Bryce H; Sabatelli, Alessandro; |
2023 |
US Patent 11,670,289 |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2023 |
US Patent 11,636,869 |
| CuRL: Curriculum Reinforcement Learning for Goal-Oriented Robot Control |
Uglow, Harry; Johns, Ed; Deisenroth, Marc; |
2019 |
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| Maintaining privacy of personal information |
NEWENDORP, Brandon J; PETERSON, Joanna S; |
2023 |
US Patent 11,599,331 |
| Natural assistant interaction |
Garcia, Juan Carlos; McCarthy, Paul S; Piersol, Kurt; |
2023 |
US Patent 11,710,482 |
| Variable latency device coordination |
Piersol, Kurt; |
2022 |
Google Patents |
| Aplicação de ferramentas inteligentes de classificação de dados não estruturados como suporte a gestão de ativos em sistemas elétricos de potência |
Trevisam, Bruno Augusto; |
2023 |
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| It is probably me: a bayesian approach to weighting digital identity sources |
Blue, Juanita; Condell, Joan; Lunney, Tom; |
2019 |
IEEE |
| User activity shortcut suggestions |
Blatz, John L; Malta, Andrew William; Ramaswamy, Pallavika; WEINSTEIN, Ari; |
2022 |
US Patent 11,237,797 |
| Methods and user interfaces for voice-based control of electronic devices |
GADA, Jigar Vasant; ELAGHA, Mosab Hatem; |
2022 |
US Patent 11,227,599 |
| Tagging documents with security policies |
Goyal, Tanya; Mehta, Sanket Vaibhav; Srinivasan, Balaji Vasan; Jain, Ankur; |
2023 |
US Patent 11,748,501 |
| Artificial intelligence-based process for metal identification. resource efficient scrap sorting |
Auer, Maximilian; Oßwald, Kai; Volz, Raphael; Woidasky, Jörg; |
2019 |
Rainer Hampp Verlag |
| Master Thesis Law and Technology LLM Tilburg Law School |
Manzo, Juan Pablo Cardenas; |
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| Zero latency digital assistant |
Stasior, William F; Carson, David A; DASARI, Rohit; Kim, Yoon; |
2021 |
US Patent 11,126,400 |
| Intelligent assistant for home automation |
Orr, Ryan M; Nell, Garett R; Brumbaugh, Benjamin L; |
2022 |
Google Patents |
| Performing actions associated with task items that represent tasks to perform |
Gruber, Thomas R; Sabatelli, Alessandro F; Aybes, Alexandre A; Pitschel, Donald W; Voas, Edward D; Anzures, Freddy A; Marcos, Paul D; |
2021 |
US Patent 11,120,372 |
| Intelligent automated assistant in a messaging environment |
KARASHCHUK, Petr; GALVEZ, Tomas A VEGA; Gruber, Thomas R; |
2022 |
US Patent 11,526,368 |
| Synchronization and task delegation of a digital assistant |
Phipps, Benjamin S; FRAZZINGARO, Gennaro; SCHRAMM, Karl F; |
2022 |
US Patent 11,405,466 |
| Distributed personal assistant |
ZEITLIN, Nicolas; |
2022 |
US Patent 11,500,672 |
| Nationwide estimation of groundwater nitrate concentrations using machine learning |
Knoll, Lukas; |
2020 |
Dissertation, Gieß en, Justus-Liebig-Universität, 2021 |
| Re: Privacy; investigating the accessibility of online legal documents in relation to the privacy paradox |
Calvert, Elizabeth Ivy; |
2018 |
Open Access Te Herenga Waka-Victoria University of Wellington |
| Optimaztion of Fantasy Basketball Lineups via Machine Learning |
Earl, James; |
2019 |
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| Design of a Neural Network Architecture for Traffic Light Detection in Autonomous Vehicles |
Akubo, Raphael Ede; |
2019 |
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| Maskininlärning inom kommersiella fastigheter: Prediktion av framtida hyresvakanser |
Alemayehu, Brook; Johnsons, Fredrik; |
2018 |
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| Distribución de camas hospitalarias en un centro de salud mediante la técnica de Machine Learning |
Pizarro Castro, Karen Genesis; |
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| Potential Applications of IntelligentSystems in the Production Lineat Scania: Potential Applications of IntelligentSystems in the Production Lineat Scania |
Kettler, Kristian Morten; |
2019 |
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| Beyond Traditional SMS–Can Resilience Engineering and Deep Learning Neural Networks Be Used to Anticipate Disruptions in the NAS? |
Abbott, Richard; |
|
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| The Intersection of Artificial Intelligence and Healthcare. The Future of Primary Care Medicine |
Altamimi, Hussain Akram; |
2018 |
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| Parallelization of the DIANA Algorithm in OpenMP |
Ribeiro, Hethini; Spolon, Roberta; Manacero Jr, Aleardo; Lobato, Renata S; |
2018 |
Springer Singapore Singapore |
| Parallelization of the DIANA Algorithm in OpenMP |
Ribeiro, Hethini; Spolon, Roberta; Manacero Jr, Aleardo; Lobato, Renata S; |
2018 |
Springer Singapore Singapore |
| Chapter-5 Regression and Classification in Machine Learning |
Anandan, R; Kalaivani, K; |
|
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| Journal of AI Humanities |
Cha, Miriam; Gwon, Youngjune L; Kung, HT; Sukopp, Thomas; Berger, Larissa; Han, Youngsue; Roh, Hyunjung; Jaehoon, Kim; Hwang, Su Hyoun; Avin, Shahar; |
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| Application of network and information security risk monitoring and early warning platform in electric power enterprises |
Min, Wang; |
2018 |
IEEE |
| Studie über Einsatzpotentiale und Beispiele für Conversational Interfaces |
Alder, C; Asani, B; Barmettler, G; Blumenthal, P; Brügger, D; Burgunder, M; Müller, KP; |
2018 |
Forschungs-, Praxis-und Venture Projekt im Bereich «Digitale Kommunikation … |
| Finding Anomalous eNodeBs |
Faidi, Sameh; |
2018 |
Metropolia Ammattikorkeakoulu |
| Keinoälyn hyödyntäminen väylänpidossa |
Korpela, Ellinoora; |
2018 |
|
| MOROSIDADE DO JUDICIÁRIO: PROPOSTAS DE UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL PARA CONTRIBUIR NA CELERIDADE DA RETIFICAÇÃO DA AUTUAÇÃO PROCESSUAL |
ROCHA, Marcelo Lisboa; PRATA, David Nadler; de OLIVEIRA, Julio César Pereira; FACCIONI, Marcelo Augusto Ferrari; |
2022 |
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| An investigation of an artificial intelligence trained with Q-learning solving different game levels |
Clarke, Danijel C; Larsen, Emil E; Thulstrup, Frederik Z; Rhiger, Morten; |
2018 |
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| Building real time object detection iOS application using machine learning |
Do, Duc; |
2018 |
Metropolia Ammattikorkeakoulu |
| Previsão de indicadores diários de preços no mercado futuro de commodities agrícolas utilizando aprendizagem de máquina |
LUDOVICO, Sérgio Nunes; |
2020 |
Universidade Federal de Alfenas |
| Search Of Favorite Books As A Visitor Recommendation of The Fmipa Library Using CT-Pro Algorithm |
Maryana, Sufiatul; Karlitasari, Lita; |
2018 |
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| Data-driven decision support to reduce" driving-under the influence of alcohol" offenses |
Cherenet, Zerayaeqob; |
2018 |
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| Improvement on Automated Thai Assignment Scoring by Using a Thesaurus |
Thongyoo, Thannicha; |
2018 |
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| Using SVM in Classification |
PREDA, Ștefan; |
2018 |
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| The Unknown World: Model‐Free Computing and Machine Learning |
Bosse, Stefan; |
2018 |
Wiley Online Library |
| Using neural networks and support vector machines for default prediction in South Africa |
Meltzer, Frances; |
2017 |
University of the Witwatersrand, Johannesburg (South Africa) |
| Application of Data Analytics to Prediction of Initial Production in Tight Oil Reservoir |
Tran, Nathan; |
2018 |
University of Houston |
| Current and future trends in data driven talent identification in MNCs |
Kaivola, Anni; |
2018 |
|
| Mouse Movement Authentication for Multiple-Choice Tests |
Manuele, Andrew; Dambal, Deepti; Satpal, Jaikishin; Lofton, Melissa; Tandel, Swapnil; Sidaras-Tirrito, Michael; |
|
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| ATINER's Conference Paper Series COM2017-2272 |
Roessle, Manfred; Kuebler, Rene; |
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| Tempo de carregamento de páginas web e fatores associados: aplicação de métodos de aprendizado de máquina supervisionados |
Gomes, Victor Frank; |
2022 |
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| A Family Review of Parameter-Learning Models and Algorithms for Making Actionable Decisions |
Ngan, Chun-Kit; |
2019 |
IGI Global Scientific Publishing |
| Unconventional virtual assistant interactions |
Vescovi, Marcos Regis; GALVEZ, Tomás A VEGA; KARASHCHUK, Pierre; Gruber, Thomas R; GUZZONI, Didier R; |
2021 |
US Patent 10,956,666 |
| Maskininlärningsklassificering av fordonsstatus för minskade reparationskostnader och avbrott inom kollektivtrafiken: Applicering av Random Forest-klassificering på fordonssignaler |
Stopner, Julia; Willberg, Carl-Åke; |
2022 |
|
| Exploring Best Practices for Employee Engagement in a Retail Company Located in Ecuador Supported by Machine Learning Algorithms |
Harjula, Milton Alfredo Davila; |
2017 |
The University of Liverpool (United Kingdom) |
| Machine learning multi-stage classification and regression in the search for vector-like quarks and the Neyman construction in signal searches |
Leone, Robert Matthew; |
2016 |
The University of Arizona |
| Sesame: Clustering With Semantic Similarity Based on Multiple Ontologies |
dos Santos, Carlos Alexandre Lourenço; |
2016 |
Universidade de Lisboa (Portugal) |
| Machine learning concepts in predictive analytics-A case study on wind turbine data |
Steiner, Elmar; |
2017 |
|
| Exploring Best Practices for Employee Engagement in a Retail Company Located in Ecuador Supported by Machine Learning Algorithms |
Harjula, Milton Alfredo Davila; |
2017 |
The University of Liverpool (United Kingdom) |
| Машинное обучение |
Першина, Елена Леонидовна; Чуканов, Сергей Николаевич; |
2017 |
Сибирский государственный автомобильно-дорожный университет |
| Data science technikák alkalmazása a futópálya-hatékonyság növelésében |
Madácsi, Richárd; |
2015 |
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| MediaPipe-liitännäisen implementointi ja käyttö pelimoottorissa |
Nyholm, Antti; |
2022 |
|
| Métodos de classificação por teoria da decisão para mensuração de dados do ENEM. |
SILVA, Damiana Natália Alves da; |
2021 |
Universidade Federal de Campina Grande |
| Diseño e implementación de un sistema reactivo para análisis de sentimientos con aprendizaje automático |
Hincapié Romero, Carlos Augusto; |
2021 |
Universidad de Antioquia |
| Optimasi Data dengan Regresi Linier pada Klasifikasi Potensi Kenaikan CFR Demam Berdarah |
Andriani-UBSI, Anik; |
2020 |
|
| AI I REKRYTERINGSPROCESSEN: Med fokus på hur AI kan hantera förekommandet av bias |
Nuredeen Elfegi, Esra; Roohbakhsh, Mahboobeh; |
2021 |
|
| Machine-Learning Applications to Gait Biomechanics using Inertial Sensor Signals |
Santhiranayagam, Braveena K; |
2016 |
Victoria University |
| A patient-centric decision guidance system for detecting glycemia of diabetes patients |
Ngan, Chun-Kit; Li, Lin; |
2016 |
Inderscience Publishers (IEL) |
| Development of a Building Detection System from an Aerial Image Based in Watershed Transformation and Linear Support Vector Machine |
Regis, Michael Anthony Jay B; Khan, Concepcion L; Samaniego, Jaime M; Jamias, Serlie B; Mariano, Vladimir Y; |
2015 |
|
| In silico tools for the development of biotherapeutics |
Lauer, Timothy Michael; |
2015 |
Massachusetts Institute of Technology |
| LANGUAGE IDENTIFICATION USING K-NEAREST NEIGHBOUR AND NAÏVE BAYES CLASSIFIERS |
ERIHBRA, SURU EARNEST; |
2015 |
UNIVERSITY OF LAGOS |
| 교통사고 데이터의 패턴 분석과 Hybrid Model 을 이용한 피해자 상해 심각도 예측 |
주영지; 홍택은; 신주현; |
2016 |
(사) 한국스마트미디어학회 |
| Multimedia big data computing for trend detection |
Sulca Correa, Omar Iván; |
2015 |
Universitat Politècnica de Catalunya |
| Multimedia Big Data Computing for Trend Detection |
Correa, Omar Iván Sulca; Liesa, Ruben Tous; |
2015 |
Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona … |
| Desarrollo De Modelos De Aprendizaje Profundo Para La Detección De Indicadores De Deforestación En Colombia Usando Imágenes Satelitales E Información Pública |
REVELO, JOSE DAVID TORRES; |
2023 |
|
| Klasifikasi Machine Learning Untuk Mendeteksi Penyakit Jantung Dengan Algoritma K-Nn, Decision Tree dan Random Forest |
Dewi, Lizky Aska; |
2023 |
Fakultas Sains dan Teknologi UIN Syarif Hidayatullah Jakarta |
| Wizdee Discovery-Automatic Analysis and Visualization of Information |
Leal, João Pedro Silva; |
2015 |
Universidade de Coimbra (Portugal) |
| Interpretabilidad de un modelo basado en aprendizaje profundo para el diagnóstico de retinopatía diabética |
Torres Revelo, Isabella; |
2020 |
Universidad Autónoma de Occidente |
| Kontinuierliche Qualitätsoptimierung von Produktionsprozessen durch maschinelle Lernverfahren |
Deike, Linus; |
2020 |
Universität Duisburg-Essen |
| Estudio y comparación de diferentes métodos de aprendizaje profundo referidos a la detección de heridas en la piel |
Kassara Guennoun, Chaimae; |
2020 |
Universitat Politècnica de València |
| Tekoäly ja robotiikka tilitoimistossa: niiden merkitys asiakassuhteessa pk-yritykseen-Case: Tilitoimisto X Oy |
Kilpijoki, Jaakko; |
2020 |
|
| Veri madenciliğinde veri dönüştürme yöntemlerinin sınıflandırma algoritmalarının performanslarına olan etkisi |
Örs, Fatma Betül; |
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Sağlık Bilimleri Enstitüsü |
| ACADEMIC REGULATIONS COURSE STRUCTURE AND DETAILED SYLLABUS |
Tech, M; |
2019 |
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| Text Books |
LTPC, MCA II Year I Sem; |
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| Komparace distribucí frameworku Apache Hadoop |
Todorov, Mgr Petr; |
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| Propuesta metodológica y de análisis computacional para identificar el proceso fotográfico en fotografías históricas del siglo XIX y XX |
Lozano San Juan, Gustavo; Colín Rivera, Rodrigo; |
2020 |
Universidad Nacional Autónoma de México. Instituto de Investigaciones … |
| Genom-Boyu İlişki Çalışmalarında, Makine Öğrenimi ve Derin Öğrenme Yöntemlerinin Farklı Örnek Genişliklerinde Performanslarının Değerlendirilmesi. |
ÖZTORNACI, Ragıp Onur; Coşgun, Erdal; Taşdelen, Bahar; |
2020 |
|
| Aralıklı talep yapısına sahip ürünlerin talep tahmininde makine öğrenme yöntemlerinin uygulanması |
Saatçioğlu, Derya; |
2016 |
Doktora Tezi, TC İstanbul Üniversitesi Sosyal Bilimler Enstitüsü İşletme Ana … |
| APRENDIZADO DE MÁQUINA APLICADO A PREDIÇÃO DE FALHAS EM CAMINHÃO FORA DE ESTRADA |
Dias, Aldilene Oliveira Maia; Preto, Ouro; |
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| Koneoppiminen uutisvirran suodatuksessa |
Ailio, Henri; |
2020 |
|
| Genom-boyu İlişki Çalı Yöntemleri ve Derin Ö Genişliklerinde Performansların |
ÖZTORNACI, Ragıp Onur; CO, Erdal; COŞGUN, Erdal; TAŞDELEN, Bahar; |
2020 |
|
| Theses in process Rootline Navigation |
Bock, Alexander; |
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| Genetické algoritmy pro řešení úloh optimalizace investičních strategií na finančních trzích |
Jakubík, Bc Martin; |
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| En maskininlärningsanalys av ursprunget till bostadsområdens attraktionskraft: En kvantitativ studie kring Points of Interest inverkan på bostadsområdens attraktionskraft |
Jansson, David; Sjöbohm, Victoria; |
2020 |
|
| Rootline Navigation |
Student, External Ph D; Bock, Alexander; |
|
|
| SEMESTER-III |
PO, PO1 PO2 PO; PO10, POPOPOPO; |
1959 |
|
| Brotkrumen-Navigation |
Doktorand, Externer; Nolte, Mario; |
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| Klasifikasi Lirik Lagu Bahasa Indonesia Berdasarkan Emosi Berbasis Metode Support Vector Machine |
Febrikagraha, Stefanus Ray Ameniawan Invas; |
2020 |
UNIVERSITAS ATMA JAYA YOGYAKARTA |
| 2. semester-forår 2020 |
Riis, Søren; |
|
|
| Aplicaciones basadas en aprendizaje automático (Machine learning) en plataformas de bajo consumo |
Estrella Oliva, Álvaro; |
2020 |
ETSIS_Telecomunicacion |
| Descriçao e Classificaçao de Nódulos Pulmonares em Imagens de Tomografia Computadorizada |
Lima, TJB; Araújo, FHD; Vieira, PA; Carvalho, NR de S; Rodrigues, LA; |
2019 |
SBC |
| SENTIMEN ANALISIS TWITTER PADA PEMILIHAN PRESIDEN DAN WAKIL PRESIDEN REPUBLIK INDONESIA TAHUN 2019 MENGGUNAKAN SUPPORT VECTOR MACHINE DENGAN LSA DAN TF-IDF |
Nasuha, Reza Agi Hermawan; |
2020 |
Program Studi Informatika S1 Fakultas Teknik Universitas Widyatama |
| DETEKCE VÝSKYTU OBJEKTŮ VE VIDEOZÁZNAMU |
ŠAMÁNEK, PRÁCE JAN; |
|
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| Unternehmensmodellierung//Themenvorschläge |
Frank, Ulrich; |
|
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| IX ESCUELA DE VERANO-2020 |
MINING, MACHINE LEARNING APLICACIONES EN DATA; DEEP, Y; |
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| JUNIOR MAURICIO STAUDT |
DO DESGASTE, MACHINE LEARNING PARA ANÁLISE; DA FORÇA, DE TRABALHO; |
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| Derin Öğrenme Teknikleri Kullanılarak Yüz Tanıma Tabanlı Müşteri Doğrulama ile Bankamatiklerde Sahtekârlık Tespiti |
Yıldırım, Mehmet; |
2019 |
Konya Teknik Üniversitesi |
| Genetické algoritmy pro rešení úloh optimalizace investiˇcních strategií na finanˇcních trzích |
Jakubík, Bc Martin; |
|
|
| Koneoppimisen hyödyntäminen kaupallisen lentoyhtiön toiminnoissa |
Korpela, Jari; |
2019 |
|
| VÄLIKERROS” CHILI” PEPPER-ROBOTIN OHJELMOINNIN HEL-POTTAMISEKSI |
HILTUNEN, TEEMU ALEKSI; |
|
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| FACULTAD DE ADMINISTRACIÓN ESCUELA PROFESIONAL DE ADMINISTRACIÓN |
Gutierrez Mercado, Nataly Ysabel; |
2024 |
UNIVERSIDAD NACIONAL DE SAN AGUSTÍN |
| Análisis de datos y tendencias sociales de las donaciones de sangre en Guadalajara |
Zúñiga-Cisneros, Jorge A; |
2019 |
ITESO |
| Інтелектуальний аналіз даних: Комп’ютерний практикум |
Сергеєв-Горчинський, Олексій Олександрович; Іщенко, Ганна Валеріївна; |
2018 |
Підприємство «УВОІ «Допомога» УСІ» |
| Sistema de predicción del error de modelado para una tarea de manipulación de objetos de la vida diaria para un robot humanoide, utilizando técnicas de aprendizaje de máquina |
Villalta, Orlando Moisés Solıs; |
2018 |
Instituto Tecnológico de Costa Rica |
| UTILIZACIÓN DE HERRAMIENTAS DE INTELIGENCIA DE NEGOCIOS PARA EVALUAR EL COMPORTAMIENTO DE INDICADORES DE MEDICIÓN DE GESTIÓN ORGANIZACIONAL (KPI) PARA SER APLICADOS A FUENTES MASIVAS DE DATOS FINANCIEROS |
CAMPANARO, ROSA S; DEMARTIS, PABLO NICOLAS; DIAZ, DANIEL J; VIOLA, MONICA B; |
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| Paralelizaçao do algoritmo DIANA em OpenMP |
Ribeiro, Hethini; Spolon, Roberta; Manacero Jr, Aleardo; Lobato, Renata S; |
2018 |
SBC |
| Deep Reinforcement Learning zur Minderung von Verspätungen im ÖPNV |
Hildebrandt, Hendrik; |
2018 |
|
| UX-verktyg för prototyputveckling med AI-baserat automationsstöd för omvandling av skisser till gränssnittskomponenter |
Aldén, Fanny; Juopperi, Emil; |
2018 |
|
| Νοήμονες μέθοδοι ανάλυσης ιατρικών δεδομένων εφαρμογές σε προβλήματα διάγνωσης νευρολογίας |
Κουτέλακης, Σταμάτιος; |
2018 |
|
| Extração de perfis de usuários com e sem deficiência utilizando agrupamentos |
Escarrone, Anne Lize Lopes; |
2017 |
Universidade Federal do Pampa |
| 연관규칙 마이닝과 나이브베이즈 분류를 이용한 악성코드 탐지 |
주영지; 김병식; 신주현; |
2017 |
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| VALORACIÓN DE LA INCORPORACIÓN EN LA CURRICULA DE ASIGNATURAS DE IT DE NUEVAS TECNOLOGIAS. EL CASO DE DATOS MASIVOS, Y CIENCIA DE DATOS |
DIAZ, DANIEL J; |
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| Aktiemarknadsprediktion med artificiella neurala nätverk |
Andersson, Joel; |
2017 |
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| Mit Maximum-Entropie das Parsing natürlicher Sprache erlernen |
Schreiber, Marc; |
2017 |
FH Aachen |
| 의료용 인공지능의 허가에 대한 비교제도론적 고찰: 미국· 유럽· 중국· 일본을 중심으로 |
오지현; |
2017 |
연세대학교 보건대학원 |
| Valoración crítica del uso de KPI (Key Performance Indicators) basado en su análisis sobre cantidades masivas de datos financieros |
Campanaro, Rosa; Demartis, Pablo Nicolás; Díaz, Daniel José; Díaz Toledo, Selva; Viola, Mónica Beatriz; |
2017 |
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| 연관규칙 탐사기법과 SVM 을 이용한 악성코드 탐지방법 |
주영지; |
2017 |
조선대학교 산업기술융합대학원 |
| Bedömning av fakturor med hjälp av maskininlärning |
Hjalmarsson, Martin; Björkman, Mikael; |
2017 |
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| Classificação de Fragmentos de Arquivos com Técnica de Aprendizagem de Máquina baseada em Árvores de Decisão |
Oya, Juliano KM; Hoelz, Bruno WP; |
2016 |
SBC |
| Marketing computacional: diseño automático de productos |
Hinostroza Hualpa, Stephania Cristina; Salazar Rey, Borja; |
2016 |
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| Αλγόριθμοι Classification σε Big Data |
Τσιλιγιάννη, Ελένη; |
2015 |
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| Maschinelle Lernverfahren für nieder-und hochdimensionale Probleme: Zusammenführung und Analyse biomedizinischer Daten |
Sariyar, Murat; |
2016 |
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| Razvoj spletne aplikacije za analitiko podatkov v realnem času s Spring XD |
Vrbančič, Grega; |
2015 |
Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko |
| Crowdfunding Campaigns. Success Prediction Through Natural Language Processing |
Brummer, Benjamin; |
2023 |
GRIN Verlag |
| Tip of the spear: can special forces lead the way for military applications of AI? |
Riberg, Joakim; Selin, Lars J; |
2021 |
Monterey, CA; Naval Postgraduate School |
| “Breaking and Entering”: Evaluation of the Use of Machine Learning for Code Breaking |
Brown, Ryan J; Hewage, Chaminda; Jayal, Ambikesh; |
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| Improvement of mobile banking adoption with clustering algorithm |
Kiliç, Hüseyin; |
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Fen Bilimleri Enstitüsü |
| Using Deep Learning to Predict Back Orders: A study in the Volvo Group Aftermarket Supply Chain |
Bouganim, Jakob; Olsson, Konrad; |
2019 |
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| A concept for a modular sensor-based Predictive Maintenance system for Industry 4.0 |
Milusheva, Tsvetelina; |
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| DATA LEAKAGE PROBLEM IN MACHINE LEARNING |
Макаренкова, Вера Михайловна; Павлова, Ксения Андреевна; Макаренкова, ВМ; Павлова, КА; |
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| Addressing data acumen with an introduction to data science |
Schmidt, Christin; |
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| PREDICTING BEST SELLER BOOKS BASED ON VISUAL AND SENTIMENT FEATURES |
Hutauruk, Gloria; Afrianti, Dameria Desi; Siburian, Valentina; |
2018 |
PROGRAM STUDI SARJANA SISTEM INFORMASI FAKULTAS TEKNIK INFORMATIKA DAN ELEKTRO |
| Enhancing the power of color through artificial intelligence in visual storytelling |
Youngsue, Han; Roh, Hyunjung; Jaehoon, Kim; Hwang, Su Hyoun; |
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| “Breaking and Entering”: Evaluation of Various Decryption Techniques to Decipher a Polyalphabetic Substitution Cipher. |
Brown, Ryan; |
2017 |
Cardiff Metropolitan University |
| CLASIFICADOR MEJORADO DE TEXTOS PARA EL CONTEXTO DE MEDIO AMBIENTE USANDO NAIVE BAYES MULTINOMIAL EN MÉXICO. 12 |
García, Lorena García; Rivera, Miguel Félix Mata; Flores, MC Roberto Zagal; |
2018 |
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| Makine öğrenmesi ile FOREX piyasalarında alım satım kararları uygulaması |
Uzel, Efe; |
2018 |
Sosyal Bilimler Enstitüsü |
| Parallel Computing for Process Mining |
dos Santos, Rui Miguel Monte Pegado; |
2016 |
Thesis, Tecnico Lisboa |
| Tool-Supported Project Prediction |
Emelyanova, Elena; |
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| Detekce obličejových bodů v prostředí automobilu |
Krumpolc, Petr; |
2020 |
Vysoká škola báňská-Technická univerzita Ostrava |
| Verfahren des maschinellen Lernens: Grundlegende Konzepte, Potenziale und Voraussetzungen, Einsatzszenarien in Unternehmen |
Frank, Ulrich; |
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| PENERAPAN CONVOLUTIONAL NEURAL NETWORK PADA PENGENALAN TEKS TULISAN TANGAN |
Manurung, Tommy Harlis; Lumban Gaol, Yosephin; Simanjuntak, Vera Giovani; |
2018 |
PROGRAM STUDI SARJANA SISTEM INFORMASI FAKULTAS TEKNIK INFORMATIKA DAN ELEKTRO |
| Uso de Dados Provenientes de Rede Social e Técnica de Mineração de Dados para Classificar Crimes em Belém-PA |
LS, Furtado; Souza, AMF; |
2019 |
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| Themen in Bearbeitung |
Bock, Alexander; |
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| Themen in Bearbeitung |
Frank, Ulrich; |
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| DIAGNOSIS PENYAKIT MENGGUNAKAN ALGORITMA MATCHMAKING DAN MACHINE LEARNING |
Nainggolan, Apria Theovani; Saragih, Amrianto; |
2018 |
Program Sarjana Program Studi Teknik Informatika Fakultas Teknik Informatika … |
| Prediksi Turnover Karyawan Menggunakan Algoritma KNN dan Algoritma |
Siahaan, Sari Three Mayssi; Manik, Indra Vincentius; Situmorang, Sariaman; |
2018 |
PROGRAM DIPLOMA 3 FAKULTAS TEKNIK INFORMATIKA DAN ELEKTRO PROGRAM STUDI … |
| Theses in Process |
Frank, Ulrich; |
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| Estrategia de navegación para robots móviles mediante redes neuronales |
Romero, Ayane Suárez; del Pozo Quintero, Abelardo; |
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| ББК 22.152 П27 Рецензенты: д-р техн. наук, проф. АЛ Ахтулов (ОмГУПС); канд. техн. наук, доц. ВЮ Кобенко (ОмГТУ) |
Першина, Елена Леонидовна; |
2017 |
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| Yapay Zeka ve Veri Madenciliği Uygulamalarında Yüksek Başarımlı Hesaplama Yazılımlarının Kullanımı ve Örnek Tasarım ile Performans Analizleri |
Özhan, Erkan; |
2016 |
Namık Kemal Üniversitesi |
| 2Pandemic Upsurge |
Shaukat, Muhammad Rehan; Sami, Abdul; |
2023 |
Taylor & Francis |
| Pandemic Upsurge: Insights from Higher Education Reforms in the Gulf |
Shaukat, Muhammad Rehan; Sami, Abdul; |
2023 |
Routledge |
| Spezielles Kapitel: Vorgehensmodelle |
Schmidt, Christin; |
2023 |
Springer |
| Primeras experiencias en la identificación de personas con riesgo de diabetes en la población argentina usando técnicas de aprendizaje automático |
Tittarelli, Gonzalo; |
2023 |
Universidad Nacional de La Plata |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2024 |
US Patent 11,862,186 |
| Low-latency intelligent automated assistant |
Acero, Alejandro; Zhang, Hepeng; |
2024 |
US Patent 11,862,151 |
| Intelligent computing knacks for infected media and time delay impacts on dynamical behaviors and control measures of rumor-spreading model |
Raja, Muhammad Asif Zahoor; Haider, Adeeba; Nisar, Kottakkaran Sooppy; Shoaib, Muhammad; |
2024 |
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| The Effects of Artificial Intelligence on Service Delivery in South African Local Municipalities |
Kimari, Alexander Maina; Niyitunga, Eric Blanco; Mohammad, Jahed; |
2023 |
Adonis & Abbey Publishers Ltd |
| CHALLENGES AND REFORMS IN GULF HIGHER EDUCATION |
Segumpan, Reynaldo Gacho; McAlaney, John; |
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| Improving clustering accuracy of k-means and random swap by an evolutionary technique based on careful seeding |
Nigro, Libero; Cicirelli, Franco; |
2023 |
MDPI |
| Methodik zur datenbasierten Typisierung von Quartieren anhand baulicher Strukturen |
Müller, André; |
2024 |
Technische Universität Darmstadt |
| Implementasi metode vader-lstm dalam pengujian pengaruh sentimen investor terhadap prediksi harga saham |
Nugraha, Ravi Edho; |
2020 |
Fakultas Sains dan Teknologi UIN Syarif HIdayatullah Jakarta |
| Aproximación a la clasificación de la atención basada en optimización por enjambre de partículas con pruebas de seguimiento ocular |
Ernesto, Medina Magdaleno Guillermo; Antonio, Aceves Fernández Marco; Carlos, Pedraza Ortega Jesús; |
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| Physics-informed machine learning—an emerging trend in tribology |
Marian, Max; Tremmel, Stephan; |
2023 |
MDPI |
| Intelligent assistant for home automation |
Orr, Ryan M; Nell, Garett R; Brumbaugh, Benjamin L; |
2023 |
Google Patents |
| Voice activated device for use with a voice-based digital assistant |
Milden, Kevin; |
2023 |
Google Patents |
| Smart Approaches to Efficient Text Mining for Categorizing Sexual Reproductive Health Short Messages into Key Themes |
Makai, Tobias; Nyirenda, Mayumbo; |
2024 |
Scientific Research Publishing |
| Eine Architektur für maschinelles Transfer-Lernen in industriellen Automatisierungssystemen |
Maschler, Benjamin; |
2023 |
Shaker |
| Аналіз даних в інформаційно-управляючих системах. Курс лекцій |
Гавриленко, Олена Валеріївна; |
2024 |
КПІ ім. Ігоря Сікорського |
| Multi-modal inputs for voice commands |
Piernot, Philippe P; Weinberg, Garrett L; |
2024 |
Google Patents |
| Unconventional virtual assistant interactions |
Vescovi, Marcos Regis; GALVEZ, Tomás A VEGA; KARASHCHUK, Pierre; Gruber, Thomas R; GUZZONI, Didier R; |
2024 |
US Patent 11,886,805 |
| Raise to speak |
Lemay, Stephen O; BASTIAN, Michael R; Holenstein, Roman; Jeong, Minwoo; MAALOUF, Charles; NEWENDORP, Brandon J; NIETO, Heriberto; Paek, Timothy; PETERSON, Joanna; SCULLY, Shawn; |
2024 |
US Patent 11,907,436 |
| Low-latency intelligent automated assistant |
Acero, Alejandro; Zhang, Hepeng; |
2024 |
Google Patents |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2024 |
US Patent 11,862,186 |
| Model compression using cycle generative adversarial network knowledge distillation |
Bellegarda, Jerome R; |
2024 |
Google Patents |
| Providing message response suggestions |
Jina, Vojtech; HILDICK-SMITH, Seth J; KIRBY, Peter M; SRIDHAR, Vivek Kumar RANGARAJAN; |
2024 |
US Patent 11,888,791 |
| Intelligent automated assistant for delivering content from user experiences |
Vescovi, Marcos Regis; CIRCLAEYS, Eric MG; Warren, Richard; Bernstein, Jeffrey Traer; KRENN, Matthaeus; |
2024 |
US Patent 11,900,923 |
| Analysis, Disentanglement, and Conversion of Singing Voice Attributes |
O'Connor, B; |
2024 |
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| Tekoälyn hyödyntäminen verkkosivujenkehityksessä |
Heinänen, Sami; Kolehmainen, Miro; |
2024 |
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| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2024 |
US Patent 12,009,007 |
| Global Trends of Forced Migration: A Panel Data Analysis 2009-2021 |
Han, Jiyoung; |
2024 |
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| The Application of Apatite for the Study of Magmatic to Hydrothermal Processes in Porphyry Copper Systems |
Stonadge, George R; |
2024 |
University of Leicester |
| AMINISTRY FOR DEVELOPMENT OF INFORMATION TECHNOLOGIES AND COMMUNICATIONS OF THE REPUBLIC OF UZBEKISTAN TASHKENT UNIVERSITY OF INFORMATION TECHNOLOGIES |
ALEKSANDROVICH, CHEREPANOV ALEKSANDR; |
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| Application of machine learning for film thickness prediction in elliptical EHL contact with varying entrainment angle |
Tošić, Marko; Marian, Max; Habchi, Wassim; Lohner, Thomas; Stahl, Karsten; |
2024 |
Elsevier |
| Machine Learning and Multiple Imputation Methods |
Teegavarapu, Ramesh SV; |
2024 |
Springer |
| Дослідження застосування методів інтелектуального аналізу даних в системах фриланс-бірж для 2D/3D Generalist |
Різник, АО; |
2024 |
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| Análisis e implementación de clustering en casos de dengue mediante algoritmo de aprendizaje no supervisado |
Pinzón, Miguel Alberto Rincón; Rodríguez, Carlos Alberto Mejía; Camargo, Erney Alberto Ramírez; Vergel, Lina Marcela Arévalo; |
2024 |
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| KONEOPPIMISEN HYÖDYT JA HAASTEET YRITYSTEN OHJELMISTOJEN YLLÄPIDOSSA |
Vuori, Topias; |
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| Intelligent assistant for home automation |
Orr, Ryan M; Nell, Garett R; Brumbaugh, Benjamin L; |
2024 |
US Patent 12,067,990 |
| Klasifikasi Tsunami Gempa Bumi dengan Teknik Stacking Ensemble Machine Learning |
Sudarto, Sudarto; Kusrini, Kusrini; |
2024 |
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| Steady-State Heat Conduction Model for Machine Learning Algorithms |
Patidar, Neelam; Makrariya, Akshara; |
2024 |
Springer Nature |
| Finite Difference and Finite Volume 1D Steady-State Heat Conduction Model for Machine Learning Algorithms |
Patidar, Neelam; Makrariya, Akshara; |
2022 |
Springer Nature Singapore Singapore |
| Selection of spectral bands for estimating fishmeal quality parameters using ML models |
Merino, Tulio; Criollo, Antonio; La Rosa, Gerson; Valdiviezo, Juan; Soto, Juan; |
2024 |
IEEE |
| Intelligenza artificiale e costituzionalismo contemporaneo: principi, diritti e modelli in prospettiva comparata |
Fasan, Marta; |
2024 |
Università degli Studi di Trento |
| PREDICTION OF HOTEL RESERVATION CANCELLATION BASED ON MACHINE LEARNING MODELS |
Karić, Katarina; Stefanović, Nenad; Mitrović, Katarina; |
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| Reducing the need for manual start/end-pointing and trigger phrases |
Piernot, Philippe P; BINDER, Justin G; |
2024 |
US Patent 12,118,999 |
| Application of machine learning for predictions of consecutive dependent data of type {[(a, b)-> c]-> d} |
Piratova, Diego Alexander Quevedo; Villalba, Jhon Uberney Londoño; Gomez, Arnaldo Andres Gonzalez; |
2024 |
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| Anomaly Detection in IOT |
Mehboob, Ammar; Zahra, Syeda Aqsa; Amin, Muhammad Nabeel; Shabbir, Hamza; Naqvi, Asad; |
2024 |
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| Dijital vicdan: yapay zekâ çağında etik |
Turan, T; |
2024 |
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| Machine learning for early detection of plant viruses: analyzing post-infection electrical signal patterns |
Ghasemi, Elham; Ebrahimie, Esmaeil; Niazi, Ali; |
2024 |
Elsevier |
| Machine Learning-Based Detection of Glitch Attacks in Clock Signal Data |
Gambra, Asier; Chatterjee, Durba; Rioja, Unai; Armendariz, Igor; Batina, Lejla; |
2024 |
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| Predictive Modeling of Urban Air Pollution Using Machine Learning and Unmanned Aerial Vehicle Platforms |
Özer, Muhammed Mirac; |
2024 |
Springer Nature Switzerland Cham |
| Predictive Modeling of Urban Air Pollution Using Machine Learning and Unmanned Aerial Vehicle Platforms |
Özer, Muhammed Mirac; |
2024 |
Springer Nature Switzerland Cham |
| Supervised models for detecting GPS attacks and faults in UAVs: a comparative analysis |
Ferrão, Isadora Garcia; De Oliveira, André; Marçal, Vitor; Allão, Daniel; Espes, David; Dezan, Catherine; Branco, Kalinka Castelo; |
2024 |
IEEE |
| Literacia do big data: uma revisão integrativa da literatura e diretrizes para futuras investigações |
Kubrusly, Ana; Batista, Susana; Marôpo, Lidia; |
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| Intelligent automated assistant for TV user interactions |
van Os, Marcel; DASARI, Rohit; LISTER, Patrick M; Napolitano, Lia T; RUSSELL, Jonathan H; Saddler, Harry J; |
2025 |
US Patent 12,200,297 |
| Multi-band single bio-molecule detection through inverse-designed graphene-folded spherical particle dimers |
Raad, Shiva Hayati; Heydari, Ebrahim; |
2025 |
Optica Publishing Group |
| Decoding deception in the online marketplace: enhancing fake review detection with psycholinguistics and transformer models |
Salminen, Joni; Mustak, Mekhail; Jung, Soon-Gyo; Makkonen, Hannu; Jansen, Bernard J; |
2025 |
Springer |
| Tekoälyn käyttö teknisessä viestinnässä |
Mylläri, Noora; |
2025 |
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| Application integration with a digital assistant |
Walker, II Robert A; NEWENDORP, Brandon J; DASARI, Rohit; GIULI, Richard D; Gruber, Thomas R; RADEBAUGH, Carey E; Garg, Ashish; Khosla, Vineet; RUSSELL, Jonathan H; PETERSON, Corey; |
2025 |
US Patent 12,293,763 |
| Voice trigger for a digital assistant |
BINDER, Justin; Post, Samuel D; Tackin, Onur; Gruber, Thomas R; |
2025 |
US Patent 12,277,954 |
| Tribosintering of Metal Oxide Nanocrystals |
LaMascus, Parker; |
2025 |
University of Pennsylvania |
| Defining a New Metric for Detecting Bias in Software Systems: Towards Ethical Software Engineering |
Abdelraheem, Ahmed; Elbanna, Malak; Elnaggar, Mohamed; Shawky, Doaa; |
2025 |
IEEE |
| Devices and methods for invoking digital assistants |
Weinberg, Garrett L; Booker, Susan L; Guzzoni, Didier Rene; PECK, Jessica; Saddler, Harry J; Streja, Lynn Irene; ZHANG, Lily Shuting; |
2025 |
Google Patents |
| Virtual assistant in a communication session |
Sanghavi, Mehul K; Schwerdtfeger, Jeffrey P; |
2025 |
Google Patents |
| Využití machine learning ve finančních institucích |
Maliňáková, Bc Dušana; |
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| Diseño e implementación de un sistema reactivo para análisis de sentimientos con |
Romero, Carlos Augusto Hincapié; |
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| Electronic devices with voice command and contextual data processing capabilities |
Lindahl, Aram M; |
2025 |
Google Patents |
| Attention aware virtual assistant dismissal |
HINDI, Musa M; DASARI, Rohit; |
2025 |
Google Patents |
| Werknutzung und künstliche Intelligenz |
Pukas, Jonathan; |
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| Revolutionizing Water Treatment Facilities with Machine Learning: Techniques, Applications, and Case Studies |
Rao, AV Raghavendra; Srividya, Rompicherla; Vanjarana, Sravani Sameera; Karuna, B; Archana Rao, P; |
2025 |
Wiley Online Library |
| Intelligent thermal spraying: A comprehensive review of innovation driven by artificial intelligence and machine learning |
Zhou, Yu-jie; Kang, Jia-jie; Liu, Ming; Ma, Guo-zheng; Zhang, Qiao; Zhang, Jie; Peng, Qi-qing; Gao, Rui; Wang, Hai-dou; |
2025 |
Elsevier |