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Showing results 1 to 10 of 1815 (Search time: 0.0 seconds).

Optimization of design parameters in lstm model for predictive maintenanceoa mark
  • 2021-07-02
  • Applied Sciences (Switzerland), Vol.11
  • MDPI AG
A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTMoa mark
  • Muthunambu, Navaneetha Krishnan;
  • Prabakaran, Senthil;
  • Kavin, Balasubramanian Prabhu;
  • Siruvangur, Kishore Senthil;
  • Chinnadurai, Kavitha;
  • Ali, Jehad
  • 2024-01-01
  • Computers, Materials and Continua, Vol.78, pp.3089-3127
  • Tech Science Press
Adaptive Memory and in Materia Reinforcement Learning Enabled by Flexoelectric-like Response from Ultrathin HfO2
  • 2022-12-14
  • ACS Applied Materials and Interfaces, Vol.14, pp.54876-54884
  • American Chemical Society
Prediction of the number of asthma patients using environmental factors based on deep learning algorithmsoa mark
  • Hwang, Hyemin;
  • Jang, Jae Hyuk;
  • Lee, Eunyoung;
  • Park, Hae Sim;
  • Lee, Jae Young
  • 2023-12-01
  • Respiratory Research, Vol.24
  • BioMed Central Ltd
An ensemble approach to anomaly detection using high- and low-variance principal components
  • 2022-04-01
  • Computers and Electrical Engineering, Vol.99
  • Elsevier Ltd
Thermal Estimation of Modular Multilevel Converter Submodule Using Deep Regression on GRU and LSTM Networkoa mark
  • 2022-01-01
  • IEEE Access, Vol.10, pp.75343-75353
  • Institute of Electrical and Electronics Engineers Inc.
Deep learning of optimal exercise boundaries for American options
  • 2024-01-01
  • International Journal of Computer Mathematics
  • Taylor and Francis Ltd.
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