Design and Analysis of Deep Learning based Water Potability Prediction-Reference-Cited by-同舟云学术

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Design and Analysis of Deep Learning based Water Potability Prediction

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
language:
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Author:

M Arumugam¹,P Vijayakumar²,C Kannan A¹,J Velmurugan³,G Arun⁴,C Rohith Bhat⁵

Affiliation:

1. Kongu Engineering College,Department of Computer Technology - PG,Perundurai,India

2. Kongu Engineering College,Department of Master of Computer Applications,Perundurai,Tamil Nadu,638060

3. PSNA College of Engineering and Technology,Department of Electrical and Electronics Engineering,Dindigul,624622

4. Erode Sengunthar Engineering College,Department of Artificial Intelligence and Data Science,Thuduppathi,638057

5. Saveetha School of Engineering, SIMATS,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331807.pdf?arnumber=10331807

Reference21 articles.

1. Review on network security and cryptography;Kumar;International Transaction of Electrical and Computer Engineers System,2015

2. Encryption and Decryption using Password Based Encryption, MD5, and DES

3. Implementation of new modified MD5-512 bit algorithm for cryptography;Walia;International Journal of Innovative Research in Advanced Engineering (IJlRAE),2014

4. UVM-SystemC-AMS Framework for System-Level Verification and Validation of Automotive Use Cases

5. Multi-mode operator for SHA-2 hash functions

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