The impact of artificial intelligence with multi-head self-attention based deep learning model for students' academic performance monitoring.
- DOI
- 10.3389/frai.2026.1904923
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1904923,
title = {The impact of artificial intelligence with multi-head self-attention based deep learning model for students' academic performance monitoring.},
author = {Ragab M},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1904923},
url = {https://doi.org/10.3389/frai.2026.1904923}
}RIS
TY - JOUR TI - The impact of artificial intelligence with multi-head self-attention based deep learning model for students' academic performance monitoring. AU - Ragab M PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1904923 UR - https://doi.org/10.3389/frai.2026.1904923 ER -
APA
M, R. (2026). The impact of artificial intelligence with multi-head self-attention based deep learning model for students' academic performance monitoring.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1904923
Source records
- pubmed · retrieved 2026-09-25T15:19:47.268Z