A Comparison of Deep Learning Techniques for Predicting Students' Academic Performance

Mohamed Aboh Hamdalla Elbashir, Mohamed Hamouda Karboos

Open source

DOI
10.5281/zenodo.24082123
Published
2026
Container
Not recorded
Publisher
Global Publication House
Open access
yes

Credibility signals

limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.5281/zenodo.24082123,
  title = {A Comparison of Deep Learning Techniques for Predicting Students' Academic Performance},
  author = {Mohamed Aboh Hamdalla Elbashir and Mohamed Hamouda Karboos},
  year = {2026},
  doi = {10.5281/zenodo.24082123},
  url = {https://doi.org/10.5281/zenodo.24082123}
}

RIS

TY  - JOUR
TI  - A Comparison of Deep Learning Techniques for Predicting Students' Academic Performance
AU  - Mohamed Aboh Hamdalla Elbashir
AU  - Mohamed Hamouda Karboos
PY  - 2026
DO  - 10.5281/zenodo.24082123
UR  - https://doi.org/10.5281/zenodo.24082123
ER  - 

APA

Elbashir, M. A. H., & Karboos, M. H. (2026). A Comparison of Deep Learning Techniques for Predicting Students' Academic Performance. https://doi.org/10.5281/zenodo.24082123

Source records