Monitoring and Analysis of Students’ Live Behaviour using Machine Learning

Author:

Akash S1,Dinesh V1,Muthamil Selvan S1,Alfred Daniel J1,Srikanth R.1

Affiliation:

1. Karpagam Academy of Higher Education,Department of Computer Science and Engineering,Coimbatore

Publisher

IEEE

Reference15 articles.

1. Mining Smart Learning Analytics Data Using Ensemble Classifiers

2. A two-phase machine learning approach for predicting student outcomes;iatrellis;Education and Information Technologies,2020

3. EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System

4. Embedding naïve Bayes algorithm data model in predicting student graduation;lagman;In Paper presented at the proceedings of the 3rd international conference on telecommunications and communication engineering,0

5. A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach;costa-mendes;Education and Information Technologies,2020

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1. Computer Vision Based Hybrid Classroom Attention Monitoring;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Enhancing Precision Medicine with Machine Learning in Thyroid Diagnosis;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

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