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Showing results 1 to 10 of 4025 (Search time: 0.281 seconds).

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
  • Oxford University Press
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
Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach
  • 2022-12-01
  • Journal of Physics and Chemistry of Solids, Vol.171
  • Elsevier Ltd
DDoS Intrusions Detection in Low Power SD-IoT Devices Leveraging Effective Machine Learning
  • Ali, Jehad;
  • Song, Houbing Herbert;
  • Sharma, Vandana;
  • Al-Khasawneh, Mahmoud Ahmad
  • 2024-01-01
  • IEEE Transactions on Consumer Electronics
  • Institute of Electrical and Electronics Engineers Inc.
EEG-based emotion classification for Alzheimer’s disease patients using conventional machine learning and recurrent neural network modelsoa mark
  • 2020-12-02
  • Sensors (Switzerland), Vol.20, pp.1-27
  • MDPI AG
Machine learning based quantitative consequence prediction models for toxic dispersion casualty
  • 2023-02-01
  • Journal of Loss Prevention in the Process Industries, Vol.81
  • Elsevier Ltd
Machine Learning/AI for IoT, M2M, and Computer Communicationoa mark
  • 2019-09-01
  • Transactions on Emerging Telecommunications Technologies, Vol.30
  • Wiley Blackwell
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach (Machine Learning, (2020), 109, 12, (2333-2347), 10.1007/s10994-020-05920-5)oa mark
  • 2021-02-01
  • Machine Learning, Vol.110, p. 449
  • Springer
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