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All issues Volume 478 (2024) E3S Web Conf., 478 (2024) 01030 References
Open Access
Issue
E3S Web Conf.
Volume 478, 2024
6th International Conference on Green Energy and Sustainable Development (GESD 2023)
Article Number 01030
Number of page(s) 5
DOI https://doi.org/10.1051/e3sconf/202447801030
Published online 16 January 2024
  1. Application of deep learning in drug activity prediction studies. Liu, Li-Mei; Chen, Xiao-Jin; Sun, Shi-Wei; Wang, Yu; Wang, Hui; Mei, Shu; Wang, Yao-Jun. Advances in Biochemistry and Biophysics, 2022 [Google Scholar]
  2. Modeling and stability analysis of LCC-S-type wireless energy transmission system based on activation function. Hu Xufang; Wang Yue; Lv Shuangqing; Zhao Delin; Ma Tianlu. Journal of Electrotechnology, 2023 [Google Scholar]
  3. An attention mechanism-based content popularity prediction algorithm for Bi-GRU. Xu, Xue; Liu, Guangjie. Electronic Measurement Technology, 2022 [Google Scholar]
  4. A CNN-GRU based fault diagnosis method for chiller sensor deviation. Li, Donghui; Zhao, Mozhuan; Gao, Long. Journal of Hunan University (Natural Science Edition), 2022 [Google Scholar]
  5. A review of deep learning-based fault diagnosis and prediction methods. Peng, Cheng; Li, Fengjuan; Jiang, Jinyuan. Modern Electronic Technology, 2022 [Google Scholar]
  6. An unbalanced data classification method based on cost-sensitive activation function XGBoost. Li, Jingtai; Wang, Xiaodan. Computer Science, 2022 [Google Scholar]
  7. Deep learning based on RNN-LSTM neural network for driverless cart usage environment and data processing. Fan, J.Y.; Xu, C.L.; Gao, CH. Electronic Fabrication, 2021 [Google Scholar]
  8. Oil production prediction of oil wells based on long and short-term memory networks and attention mechanism. Pan, Shaowei; Zheng, Zechen; Wang, Jizhe; Cai, Wenbin; Wang, Chaoyang. Science, Technology and Engineering, 2021 [Google Scholar]
  9. A background classification method for offshore target detection using CNN. Yannan Xu; Ningbo Liu; Hao Ding; Key; Yong Huang. Journal of Electronics, 2019 [Google Scholar]
  10. Application of GA-LSTM model in highway traffic flow prediction. Wen Hui-Ying; Zhang Dong-Ran; Lu Si-Yuan. Journal of Harbin Institute of Technology, 2019 [Google Scholar]
  11. Comparison of methods based on machine learning for oilfield production prediction. Lin, Xia; Wu, Boyu; Wang, Hongliang; Liu, Zongshang. Information System Engineering, 2019 [Google Scholar]
  12. Research progress of attention mechanism in deep learning. Zhu, Zhangli; Rao, Yuan; Wu, Yuan; Qi, Jiangnan; Zhang, Yu. Journal of Chinese Information, 2019 [Google Scholar]
  13. Analyzing the current situation of petroleum extraction and its measures in China. Wu Hao. Chemical Management, 2019 [Google Scholar]
  14. Simulation and forecasting of rainfall runoff based on long and short-term memory neural network (LSTM). Yin, Zhaokai; Liao, Weihong; Wang, Ruojia; Lei, Xiaohui. South-North Water Diversion and Water Resources Science and Technology, 2019 [Google Scholar]
  15. A review of machine learning-based methods for equipment remaining life prediction. Pei, H.; Hu, C. H.; Si, S. S.; Zhang, J. X.; Pang, Z. N.; Zhang, P.. Journal of Mechanical Engineering, 2019 [Google Scholar]
  16. Arrhythmia recognition of ECG signals based on deep residual convolutional neural network. Li Duan; Zhang Hongxin; Liu Zhiqing; Huang Juxiang; Wang Tian. Journal of Biomedical Engineering, 2019 [Google Scholar]
  17. A data mining-based method for oil well production prediction with long and short-term memory network model. Gu Jianwei; Zhou Mei; Li Zhitao; Jia Xiangjun; Liang Ying. Specialty Oil and Gas Reservoir, 2019 [Google Scholar]
  18. Short-term traffic flow prediction based on KNNLSTM. Luo Xianglong; Li Danyang; Yang Yu; Zhang Shengrui. Journal of Beijing University of Technology, 2018 [Google Scholar]
  19. Well production prediction based on ARIMAKalman filter data mining model. Gu Jianwei; Sui Gulei; Li Zhitao; Liu Wei; Wang Yike; Zhang Yigen; Cui Wenfu. Journal of Shenzhen University (Science and Technology Edition), 2018 [Google Scholar]
  20. Research on deep learning optimization algorithm. Tong Weiguo; Li Minxia; Zhang Yike. Computer Science, 2018 [Google Scholar]

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