Classroom Activity Classification with Deep Learning-Reference-Cited by-同舟云学术

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Classroom Activity Classification with Deep Learning

Published:2024-02-23 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Al-Sakib Abdullah¹,Islam Fahadul²,Haque Rezaul²,Islam Md Babul³,Siddiqua Ayesha⁴,Rahman Mohammad Mominur⁵

Affiliation:

1. Westcliff University,Dept. of IT,California,USA

2. East West University,Dept. of CSE,Dhaka,Bangladesh

3. University of Calabria,Dept. of DIMES,Rende,Italy

4. Nitte Meenakshi Institute of Technology,Dept. of ECE,Bengaluru,India

5. Hamad Bin Khalifa University,College of Science and Engineering,Qatar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498187.pdf?arnumber=10498187

Reference22 articles.

1. Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

2. Business Models, Business Strategies, and Innovations in EdTech Companies: Integration of Learning Analytics and Artificial Intelligence in Higher Education

3. 3D Human Action Recognition: Through the eyes of researchers

4. Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence

5. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

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