Secure communication and implementation of handwritten digit recognition using deep neural network-Reference-Cited by-同舟云学术

Secure communication and implementation of handwritten digit recognition using deep neural network

Published:2022-11-17 Issue:1 Volume:55 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Alqahtani Abdulrahman Saad,Madheswari A. Neela,Mubarakali Azath,Parthasarathy P.

Funder

King Khalid University

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-022-04290-7.pdf

Reference13 articles.

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2. Alwzwazy, H.A., Albehadili, H.M., Alwan, Y.S., Islam, N.E.: Handwritten digit recognition using convolutional neural networks. Int. J. Innov. Res. Comput. Commun. Eng. 4(2), 1101–1106 (2016)

3. Deng, Li.: A tutorial survey of architectures, algorithms, and applications for deep learning. Signal Inf. Process. 3, 1–29 (2014)

4. Hordri, N. F., Yuhaniz, S. S., & Shamsuddin, S. M.: "Deep learning and its applications: a review." Conference on Postgraduate Annual Research on Informatics Seminar. 2016. (1–5)

5. Jiuxiang, G., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., Chen, T.: Recent advances in convolutional neural networks. Pattern Recogn. 77, 354–377 (2018)

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