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3121“... Consumption Dataset (UCI machine learning repository) and Ontario Electricity Demand dataset (Canada)....”
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3122por Verena Dully, Heinrich Balliet, Larissa Frühe, Martin Däumer, Alexander Thielen, Sheena Gallie, Iain Berrill, Thorsten Stoeck“... samples. In a supervised machine learning (SML) approach, we could classify all individual samples from...”
Publicado 2021
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3123por Janie L. Reavis, H. Seckin Demir, Blair E. Witherington, Michael J. Bresette, Jennifer Blain Christen, Jesse F. Senko, Sule Ozev“.... In this study, we present a machine learning-based sea turtle behavior recognition scheme. The proposed method...”
Publicado 2021
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3124por Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Gorriz“... of EEG signals was first carried out by conventional machine learning methods, e.g., support vector...”
Publicado 2021
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3125“... Bisindo yang menerjemahkan gestur bahasa isyarat menjadi teks menggunakan pendekatan machine learning...”
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3126por Hong-Hu Chu, Mohsin Ali Khan, Muhammad Javed, Adeel Zafar, M. Ijaz Khan, Hisham Alabduljabbar, Sumaira Qayyum“...). To accelerate the usage of FA in building industry, an innovative machine learning techniques namely gene...”
Publicado 2021
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3127“... assess the robustness of the DBN, it was compared with conventional machine learning methods...”
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3128por Shams Ul Arfeen Laghari, Selvakumar Manickam, Ayman Khallel Al-Ani, Shafiq Ul Rehman, Shankar Karuppayah“.... Fused with improved automation and robotics, machine learning, artificial intelligence, big data, cloud...”
Publicado 2021
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3129“... consumption within each day, we use XGBoost as a supervised machine learning model combined with labels from a...”
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3130por Mariana R Mendoza, Guilherme C da Fonseca, Guilherme Loss-Morais, Ronnie Alves, Rogerio Margis, Ana L C Bazzan“... and sensitivity are associated to machine learning-based methods for microRNA-target prediction. Following...”
Publicado 2013
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3131“..., where more reliable open-access big data could be excavated with the help of machine learning models...”
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3132por Johannes Höhne, Elisa Holz, Pit Staiger-Sälzer, Klaus-Robert Müller, Andrea Kübler, Michael Tangermann“... to the applied user-centered design approach and to a highly flexible technical setup. State-of-the art machine...”
Publicado 2014
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3133por Apichat Suratanee, Martin H Schaefer, Matthew J Betts, Zita Soons, Heiko Mannsperger, Nathalie Harder, Marcus Oswald, Markus Gipp, Ellen Ramminger, Guillermo Marcus, Reinhard Männer, Karl Rohr, Erich Wanker, Robert B Russell, Robert B Russell, Miguel A Andrade-Navarro, Roland Eils, Rainer König“.... Using a machine learning approach, we obtained high accuracy (82% AUC of the receiver operating...”
Publicado 2014
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3134por Abdullah Lakhan, Mazin Abed Mohammed, Seifedine Kadry, Karrar Hameed Abdulkareem, Fahad Taha AL-Dhief, Ching-Hsien Hsu“... effectively approach centralized machine learning (ML) while meeting the study’s energy and delay objectives....”
Publicado 2021
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3135por Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi“... treatment modality. Using machine learning (ML) techniques, this study aimed to detect unresponsive cases...”
Publicado 2021
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3136por Sugiono Sugiono, Willy Satrio N, Teuku Anggara, Siti Nurlaela, Andyka Kusuma, Achmad Wicaksono, Rio P. Lukodono“... images and identify the presence of humans using a cloud machine learning service. The physical...”
Publicado 2021
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3137“... machine learning-based algorithms including support vector regression and the gated recurrent unit network....”
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3138“... Intellectual Property (IP) thefts of trained machine learning (ML) models through side-channel...”
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3139“... is explored and compared to existing machine learning models (such as SVM and XGB). Finally...”
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3140por Bjørn P Pedersen, Georgiana Ifrim, Poul Liboriussen, Kristian B Axelsen, Michael G Palmgren, Poul Nissen, Carsten Wiuf, Christian N S Pedersen“...<h4>Background</h4>Structured Logistic Regression (SLR) is a newly developed machine learning tool...”
Publicado 2014
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