Hyper-Parameters Tuning Using Meta-Heuristic Algorithms for Nurses Stress Detection-Reference-Cited by-同舟云学术

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Hyper-Parameters Tuning Using Meta-Heuristic Algorithms for Nurses Stress Detection

Published:2024-02-26 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Alrosan Ayat¹,Alomoush Waleed¹,Youssef Merna²,Nile Abdelrhman W.³,Deif Mohanad A.³,Gohary Rania EL³

Affiliation:

1. School of Computing, Skyline University College,Sharjah,United Arab Emirates

2. Cairo University,Biomedical Engineering,Giza,Egypt

3. College of Information Technology, Misr University for Science & Technology (MUST),Department of Artificial intelligence,6th of October City,Egypt,12566

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10533109.pdf?arnumber=10533109

Reference18 articles.

1. Review on psychological stress detection using biosignals

2. A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques

3. An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes

4. A multimodal sensor dataset for continuous stress detection of nurses in a hospital

5. Tuning hyperparameters of machine learning algorithms and deep neural networks using metaheuristics: A bioinformatics study on biomedical and biological cases

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