1fa5ede6-5ee2-4318-86b6-476a9f45f6ba beie director@blueeyesintelligence.org 10.35940/ijitee.L9574.10101221 10.1016/bs.adcom.2020.09.001Yang, Bin, Honglei Guo, and Enguo Cao. "Design of cyber-physical-social systems with forensic-awareness based on deep learning." Advances in Computers. Vol. 120. Elsevier, 2021. 39-79.IEEE transactions on neural networksLawrence8198199710.1109/72.554195Face recognition: A convolutional neural-network approachLawrence, S., Giles, C. L., Tsoi, A. C., & Back, A. D. (1997). Face recognition: A convolutional neural-network approach. IEEE transactions on neural networks, 8(1), 98-113.10.35940/ijeat.F3080.0810621Sai, N Rohan, Rao, T Sudarshan and Kumari, G. L. Aruna. "Comparative Study on Reliability of Transfer Learning to Classify Plant-Based Diseases." International Journal of Engineering and Advanced Technology (IJEAT) 10 , no. 6 (2021): 154-160.In Soft Computing and Signal Processing (ppSharma201910.1007/978-981-13-3600-3_13White blood cell classification using convolutional neural networkSharma, M., Bhave, A., & Janghel, R. R. (2019). White blood cell classification using convolutional neural network. In Soft Computing and Signal Processing (pp. 135-143). Springer, Singapore.10.3991/ijoe.v16i15.15481Abou El-Seoud, S., Siala, M., & McKee, G. (2020). Detection and Classification of White Blood Cells Through Deep Learning Techniques.10.1109/MECBME47393.2020.9265154Malkawi, A., Al-Assi, R., Salameh, T., Alquran, H., & Alqudah, A. M. (2020, October). White blood cells classification using convolutional neural network hybrid system. In 2020 IEEE 5th middle east and Africa conference on biomedical engineering (MECBME) (pp. 1-5). IEEE.Computational Intelligence and Neuroscience 2020Almezhghwi202010.1155/2020/6490479Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural NetworkAlmezhghwi, K., & Serte, S. (2020). Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network. Computational Intelligence and Neuroscience, 2020.I. Goodfellow, Y. Bengio, and A. Courville, Deep learning. Cambridge, Massachusetts: The Mit Press, 2016.In Proceedings of the IEEE conference on computer vision and pattern recognition (ppHuang201710.1109/cvpr.2017.243Densely connected convolutional networksHuang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017). Densely connected convolutional networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 4700-4708).Agarap, A. F. (2018). Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375.Mukherjee, K., Khare, A., & Verma, A. (2019). A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. arXiv preprint arXiv:1910.11605.