Open Access
SHS Web Conf.
Volume 144, 2022
2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
Article Number 03003
Number of page(s) 6
Section Application of Artificial Intelligence Technology and Machine Learning Algorithms
Published online 26 August 2022
  1. J.M. Feng, F.A. Zhao, M. Ye, W.C. Sun, “The Auxiliary System of Cleaning Vehicle Based on Road Recognition Technology”, SAE International, 2021. [Google Scholar]
  2. J. Cai, J.Y. Cai, X.D. Liao, H.T. Huang, Q.J. Ding, Preliminary Study on Hand Gesture Recognition Based on Convolutional Neural Network, Computer system application, 24(04), 2015. [Google Scholar]
  3. R. Tian, J.M. Bi, Q. Zhang, Y.X. Liu, “Research on Lane Occupancy Rate Forecasting Based on the Capsule Network”, IEEE Access, 2020. [Google Scholar]
  4. Abien Fred M. Agarap. “On breast cancer detection”, Proceedings of the 2nd International Conference on Machine Learning and Soft Computing ICMLSC ’18, 2018. [Google Scholar]
  5. Z.W. Jiang, Improvement of adaptive gradient descent method based on Neural Network. 10.27061/d.cnki.ghgdu.2021.001061. [Google Scholar]
  6. Q.Y. Yuan, Research on training optimization method of deep neural network. 10.27151/d.cnki.ghnlu.2020.000020. [Google Scholar]
  7. X. Wang, K. Li, C. Ning, F.C. Huang, Remote sensing image classification method based on deep convolution neural network and multi-core learning [J], Journal of electronics and information, 2019 (05). [Google Scholar]
  8. P, Vincent, H. Larochelle, Y. Bengio et al., Extracting and composing robust features with denoising autoencoders, Proc of the 25th International Conference on Machine Learning, 2008. [Google Scholar]
  9. X.Y. Fan, W.G. Zhu, “Research on SAR Image Target Recognition Based on Convolutional Neural Network”, Journal of Physics: Conference Series, 2019. [Google Scholar]
  10. R. SALAKHUTDINOV, Learning deep generative models, Graduate Department of Computer Science, University of Toronto, 2009. [Google Scholar]
  11. X.T. He, Z.C. Lian, Stability of spanning connected multilayer neural networks [J], Journal of Liaoning University of science and technology, 2008(02). [Google Scholar]
  12. Chinese Software Developer Network, from: [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.