Optimizing Image Recognition Model through Transfer Learning and Robust Feature Extraction in Neural Networks-Reference-Cited by-同舟云学术

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Optimizing Image Recognition Model through Transfer Learning and Robust Feature Extraction in Neural Networks

Published:2023-11-23 Issue: Volume:11 Page:987-990
ISSN:
Container-title:2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI)
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Author:

Ramesh G.¹,Agoramoorthy Moorthy²,S Ahamed Ali³,Sujatha D.⁴,TF Michael Raj⁵

Affiliation:

1. K.L.N.College of Engineering Pottapalayam,Department of Information Technology,Sivagangai,Tamilnadu,India

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

3. Easwari Engineering College,Computer Science and Engineering,Ramapuram, Chennai

4. St. Peters college of Engineering and Technology,Department of Computer Science and Engineering,Avadi, Chennai

5. SCLAS, SIMATS,Department of Computer Applications,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420826/10420856/10421512.pdf?arnumber=10421512

Reference17 articles.

1. An Improved Crime Scene Detection System Based on Convolutional Neural Networks and Video Surveillance

2. Robustness of Surface Roughness against Low Number of Picture Elements and Its Benefit for Scaling Analysis

3. Energy efficient routing using hybrid whale-lion optimization algorithm in comparison with buffalo optimization algorithm

4. Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm

5. Crime Scene Object Detection from Surveillance Video by using Tiny YOLO Algorithm;Uganya,2023

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