A CNN–LSTM-based deep learning model for early prediction of student’s performance
Monika Arya
Department of Computer Science and Engineering, CMR Engineering CollegeHyderabad, India
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, Anand Motwani
Department of Computer Science, School of Computing Science and Engineering, VIT Bhopal UniversitySehore, India
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, Kauleshwar Prasad
Department of Computer Science and Engineering, BITIndia
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, , e 02 dic 2024
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Categoria dell'articolo: Research Article
Pubblicato online: 02 dic 2024
Ricevuto: 10 set 2024
DOI: https://doi.org/10.2478/ijssis-2024-0036
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© 2024 Monika Arya et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Arya, Monika
Department of Computer Science and Engineering, CMR Engineering CollegeHyderabad, India
Motwani, Anand
Department of Computer Science, School of Computing Science and Engineering, VIT Bhopal UniversitySehore, India
Prasad, Kauleshwar
Department of Computer Science and Engineering, BITIndia
Dewangan, Bhupesh Kumar
Department of Computer Science and Engineering, OP Jindal UniversityRaigarh, India
Choudhury, Tanupriya
School of Computer Science, University of Petroleum and Energy Studies (UPES)Dehradun, India
Chauhan, Piyush
Department of Computer Science and Engineering, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University)Pune, India