A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments
- DOI
- 10.1109/access.2024.3434644
- Published
- 2024
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2024.3434644,
title = {A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments},
author = {Jafar Ali Ibrahim Syed Masood and N. S. Kalyan Chakravarthy and David Asirvatham and Mohsen Marjani and Dalia Abdulkareem Shafiq and Srinu Nidamanuri},
year = {2024},
journal = {IEEE Access},
doi = {10.1109/access.2024.3434644},
url = {https://doi.org/10.1109/access.2024.3434644}
}RIS
TY - JOUR TI - A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments AU - Jafar Ali Ibrahim Syed Masood AU - N. S. Kalyan Chakravarthy AU - David Asirvatham AU - Mohsen Marjani AU - Dalia Abdulkareem Shafiq AU - Srinu Nidamanuri PY - 2024 JO - IEEE Access DO - 10.1109/access.2024.3434644 UR - https://doi.org/10.1109/access.2024.3434644 ER -
APA
Masood, J. A. I. S., Chakravarthy, N. S. K., Asirvatham, D., Marjani, M., Shafiq, D. A., & Nidamanuri, S. (2024). A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments. IEEE Access. https://doi.org/10.1109/access.2024.3434644
Source records
- crossref · retrieved 2026-11-10T09:06:23.616Z