An Unsupervised Drowsiness Detection Architecture Using Fuzzy Classifier-Reference-Cited by-同舟云学术

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An Unsupervised Drowsiness Detection Architecture Using Fuzzy Classifier

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)
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Author:

Daphne R.Reena¹,J.T.WinowlinJappes ²,Brintha N.C.³

Affiliation:

1. Stella Mary’s College of Engineering,Department of Electrical and Electronics Engineering,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,School of Automotive and Mechanical Engineering,Tamilnadu,India

3. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9788085/9787985/09788467.pdf?arnumber=9788467

Reference42 articles.

1. Smart Edge Computing for 5 g/6 g Satellite IOT for Reducing Inter Transmission Delay

2. Performance evaluation of artificial neural networks in sustainable modelling biodiesel synthesis;marktreve;Sustainable Energy Technologies and Assessments,2022

3. Image Classification Based On Fuzzy Logic;nedeljkovic;The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences,2016

4. Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic

5. An Improved Particle Swarm Optimization Algorithm and Its Application;yan;IJCSI International Journal of Computer Science Issues,2013

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