Author:
Haddad Laila El,Hanoune Mostafa,Ettaoufik Abdelaziz
Publisher
Springer Nature Switzerland
Reference37 articles.
1. Harikrishnan, J., Sudarsan, A., Ajai, R. A. S., & Sadashiv, A. (2019). Vision-face recognition attendance monitoring system for surveillance using deep learning technology and computer vision. In 2019 international conference on vision towards emerging trends in communication and networking (ViTECoN).
2. Li, A. A. S., Trappey, A. J. C., Trappey, C. V., & Fan, C. Y. (2019). E-discover state-of-the-art research trends of deep learning for computer vision. In IEEE international conference on systems, man and cybernetics (SMC) Bari, Italy.
3. McCulloch, W., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biology, 52, 115–133.
4. Shety, S. K., & Siddiqa, A. (2019, July). Deep learning and applications in computer vision. International Journal of Computer Sciences and Engineering, 7(7). E-ISSN: 2347-2693.
5. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet classification with deep convolutional neural networks. In Advances in neural information processing systems (NIPS) (pp. 1106–1114).