An Intelligent Machine Learning System for Real- Time Stress Management Based on a Mini-Xception Algorithm and Deep Neural Network Models-Reference-Cited by-同舟云学术

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An Intelligent Machine Learning System for Real- Time Stress Management Based on a Mini-Xception Algorithm and Deep Neural Network Models

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Contemporary Computing and Communications (InC4)
language:
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Author:

Varsha S K¹,Sri R. Leena¹,Anuvidhya K¹

Affiliation:

1. Computer Science and Engineering Thiagarajar College of Engineering,Madurai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262404/10262827/10263028.pdf?arnumber=10263028

Reference21 articles.

1. Stress Prediction among College Students using Deep Learning Techniques;al-qudah;Studies in the Educational Psychology,2021

2. Facial Emotion Detection Using Haar-Cascade Classifier and Convolutional Neural Networks

3. Stress Detection using Deep Learning Techniques: A Review;gautam;Journal of King Saud University - Computer and Information Sciences,2021

4. Developing a Smart System for Stress Management using Deep Learning Techniques;ebrahimi;Journal of Computational Science,2021

5. Machine Learning Techniques for Stress Management: A Review;kannan;Journal of Ambient Intelligence and Humanized Computing,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Academic stress detection based on multisource data: a systematic review from 2012 to 2024;Interactive Learning Environments;2024-08-06

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