1. S. Saha, A comprehensive guide to convolutional neural networks — the ELI5 way. Medium (2020) [Online]. Available: https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way. Accessed: 08-Feb-2020
2. A. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, H. Adam, Mobilenets: efficient convolutional neural networks for mobile vision applications (2017). arXiv:1704.04861
3. A.P. SundaraSobitha Raj, S.K. Vajravelu, DDLA: dual deep learning architecture for classification of plant species. IET Image Process. 13(12), 2176–2182 (2019)
4. Z. Wang, J. Lian, C. Song, Z. Zhang, W. Zheng, S. Yue, S. Ji, SAS: painting detection and recognition via smart art system with mobile devices. IEEE Access 7, 135563–135572 (2019)
5. E. Kristiani, C. Yang, C. Huang, iSEC: an optimized deep learning model for image classification on edge computing. IEEE Access 8, 27267–27276 (2020)