Smart Auto Image Captioning Using LSTM and Densenet Network-Reference-Cited by-同舟云学术

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Smart Auto Image Captioning Using LSTM and Densenet Network

Published:2023-09-14 Issue: Volume:3 Page:2392-2398
ISSN:
Container-title:2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

M Arumugam¹,P Vijayakumar²,M Siddharrth G¹,J Rohini³,A Karthikeyan⁴,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. Erode Sengunthar Engineering College,Department of Computer Science and Engineering,Thuduppathi,638057

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

5. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10397581/10397594/10398018.pdf?arnumber=10398018

Reference26 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 (IJIRAE),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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