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Showing results 1 to 8 of 8

A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Modeloa mark
  • Zeberga, Kamil;
  • Attique, Muhammad;
  • Shah, Babar;
  • Ali, Farman;
  • Jembre, Yalew Zelalem;
  • Chung, Tae Sun
  • 2022-01-01
  • Computational Intelligence and Neuroscience, Vol.2022
  • Hindawi Limited
Analysis and Prediction of Nanowire TFET’s Work Function Variation
  • 2024-04-01
  • Journal of Semiconductor Technology and Science, Vol.24 No.2, pp.96-104
  • Institute of Electronics Engineers of Korea
Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniquesoa mark
  • Dewangan, Sheetal Kumar;
  • Jain, Reliance;
  • Bhattacharjee, Soumyabrata;
  • Jain, Sandeep;
  • Paswan, Manikant;
  • Samal, Sumanta;
  • Ahn, Byungmin
  • 2024-05-01
  • Journal of Materials Research and Technology, Vol.30, pp.2377-2387
  • Elsevier Editora Ltda
Historical inference based on semi-supervised learningoa mark
  • 2018-09-15
  • Expert Systems with Applications, Vol.106, pp.121-131
  • Elsevier Ltd
Integrated framework for incorporating sustainability design in software engineering life-cycle: An empirical study
  • 2021-01-01
  • Information and Software Technology, Vol.129
  • Elsevier B.V.
Machine-learned wearable sensors for real-Time hand-motion recognition: Toward practical applicationsoa mark
  • Pyun, Kyung Rok;
  • Kwon, Kangkyu;
  • Yoo, Myung Jin;
  • Kim, Kyun Kyu;
  • Gong, Dohyeon;
  • Yeo, Woon Hong;
  • Han, Seungyong;
  • Ko, Seung Hwan
  • 2024-02-01
  • National Science Review, Vol.11 No.2
  • Oxford University Press
Reinforcement Learning Based 5G Enabled Cognitive Radio Networks
  • Puspita, Ratih Hikmah;
  • Shah, Syed Danial Ali;
  • Lee, Gyu Min;
  • Roh, Byeong Hee;
  • Oh, Jimyeong;
  • Kang, Sungjin
  • 2019-10-01
  • ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.555-558
  • Institute of Electrical and Electronics Engineers Inc.
Resource Efficient Cluster-Based Federated Learning for D2D Communications
  • 2022-01-01
  • IEEE Vehicular Technology Conference, Vol.2022-June
  • Institute of Electrical and Electronics Engineers Inc.
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