Integrating UNet and LSTM Architectures for Enhanced Fake News-Reference-Cited by-同舟云学术

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Integrating UNet and LSTM Architectures for Enhanced Fake News

Published:2023-11-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
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Author:

M J Carmel Mary Belinda¹,Kannan E²,Begum Almas¹,K Senthil¹,S Alex David²,C Mahesh¹

Affiliation:

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

2. R&D Institute of Science and Technology,Vel Tech Rangarajan Dr Sagunthala,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10368826.pdf?arnumber=10368826

Reference12 articles.

1. A Collaborative Data Publishing Model with Privacy Preservation Using Group‐Based Classification and Anonymity

2. Detecting fake news over online social media via domain reputations and content understanding

3. Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set

4. Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)

5. Misleading Metadata Detection on YouTube

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