Disturbance Detection in Mobile Instant Messaging Apps using Deep Learning-Reference-Cited by-同舟云学术

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Disturbance Detection in Mobile Instant Messaging Apps using Deep Learning

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)
language:
Short-container-title:

Author:

Ilango Jack Praveen Raj¹,Paul Abhishek²,Kumar Aditya Ganesh²,Sait Saad Yunus¹,Kayalvizhi R²,Safiullah Syed Shabbar³

Affiliation:

1. SRM Institute of Science and Technology - Kattankulathur,Department of Computational Intelligence,Chennai,India,603203

2. SRM Institute of Science and Technology - Kattankulathur,Department of Networking and Communications,Chennai,India,603203

3. Cloud Services, Cryztal Technologies,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059452/10059584/10060602.pdf?arnumber=10060602

Reference18 articles.

1. Mobile development in Swift, Java and React Native: an experimental evaluation in audioguides

2. Migrating to GraphQL: A Practical Assessment

3. JavaScript in mobile applications: React native vs ionic vs NativeScript vs native development

4. Web-based hybrid mobile apps

5. 3-Tier hybrid approach for SMS filtering

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