Real Time Feature Selection Based Behavioral Anomaly Detection Using Machine Learning

Author:

Kolar Shubham,Shrivastava Gyan Chandra,Gupta Anuj Kumar,Parihar Sarwar,Shedpure Yash,Yadav Nitish Kumar,Malhotra Atul

Publisher

Elsevier BV

Reference17 articles.

1. Driver's attention monitoring system with low light capability;Joseph L Sazon;International Journal of Advanced Trends in Computer Science and Engineering,2019

2. Automated inattention and fatigue detection system in distance education for elementary school students;Hwang;Journal of Educational Technology & Society,2009

3. A novel approach to identify student's attentiveness based on drowsiness detection during online/live classes;Syed Ali;International Journal of Applied Sciences and Engineering Research,2020

4. Machine Learning based Drowsiness Detection in Classrooms;Dinesh Jr;2022 International Conference on Edge Computing and Applications (ICECAA),2022

5. Real-Time Drowsiness Detection System for Student Tracking using Machine Learning;Dilipkumar A Borikar;International Journal of Next-Generation Computing,2023

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