A Machine Learning Model for Augmenting the Media Accessibility for the Disabled People-Reference-Cited by-同舟云学术

A Machine Learning Model for Augmenting the Media Accessibility for the Disabled People

Published:2023-11-23 Issue: Volume:28 Page:438-443
ISSN:
Container-title:2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI)
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Author:

Andi Hari Krishnan¹,Senbagam S.²,Sharma Dilip Kumar³,Shelke Mayura⁴,Kumar N K Senthil⁵,Poonia Ramesh Chandra⁶

Affiliation:

1. Asia Metropolitan University,Centre for Postgraduate Studies,Malaysia

2. Dhanalakshmi Srinivasan College of Engineering and Technology,Department of Computer Science and Engineering,Mamallapuram,Tamil Nandu,India

3. Jaypee University of Engineering and Technology,Department of Mathematics,Guna,Madhya Pradesh,India,473226

4. AISSMS IOIT,Department of Artificial Intelligence and Data Science,Pune,India

5. School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed to be University),Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

6. CHRIST (Deemed to be University),Department of Computer Science,Delhi-NCR Ghaziabad,Uttar Pradesh,India,201003

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420826/10420856/10420881.pdf?arnumber=10420881

Reference41 articles.

1. Quantum inspired meta-heuristic approach for optimization of genetic algorithm

2. Heart Disease Detection Based on Feature Fusion Technique with Augmented Classification Using Deep Learning Technology

3. Enhanced Deep Hierarchal GRU & BILSTM using Data Augmentation and Spatial Features for Tamil Emotional Speech Recognition

4. Quantum Meta‐Heuristics and Applications

5. Transfer learning autoencoder used for compressing multimodal biosignal