Publications

Alhazmi, A., & Eke, C. I. (2026). Disability Service Utilization and Socioeconomic Inclusion in Saudi Arabia: Evidence from National Open Government Data. Journal of Disability Research, 5(3), 20260973.

Eke, C. I., Shuib, L., & Phiri, M. (2026). A comprehensive survey of AI trust frameworks in healthcare: current state and future directions. Health Services and Outcomes Research Methodology, 26(2), 256-297.

Theophilus, G., Eke, C.I., Agushaka, J.O. et al. (2026). A systematic review of deep learning techniques for learners’ engagement prediction in electronic learning systems. Discov Artif Intell 6, 948 https://doi.org/10.1007/s44163-026-01761-8

Onu, O. P., Timothy, M., & Eke, C. I. (2026). An explainable Polymorphic Malware Detection Framework with Transfer Learning in Encrypted Network. VFAST Transactions on Software Engineering, 14(2), 263-280.

Theophilus, G. S., Eke, C. I., Agushaka, O. J., & Moses, T. (2026). Shallow and deep learning approaches for predicting learners’ engagement in electronic learning systems: feature selection, extraction and engineering approaches. Neural Computing and Applications, 38(9), 323.

Kwaghtyo, D. K., Eke, C. I., & Moses, T. (2026). CropGAN: A conditional GAN framework for synthetic tabular data augmentation in crop recommendation systems.

Yunana, D. T., Eke, C. I., & Magaji, G. E. (2026). Anomaly Detection in Maritime Ship Trajectory Using a Deep Learning Approach: A Comprehensive Survey, State-of-the-Art and Future Perspective. International Journal on Computational Engineering, 3(1), 1-9.

Abdulsalam, A.J., Timothy, M., Eke, C.I. (2026). Machine Learning-Based Software Defect Prediction and Its Application: A Systematic Review. AGE Journal of Science, 1(1): 7-16. D o i . org/ 10.65997/BITM3382 Available online at https://agepublications.org/ajs

Shuib, L., Eke, C. I., Azmi, N., Balakrishnan, V., & Abdul Rasak, H. (2026). Machine Learning Technique for Managing Vulnerable People During the COVID-19 and Related Pandemic Through Telemedicine: Systematic Review, Open Challenges, and Research Directions. Neural Processing Letters.

Alhazmi, A., Maswadi, K., & Eke, C. I. (2025). A Systematic Review of Advances in Deep Learning Architectures for Efficient and Sustainable Photovoltaic Solar Tracking: Research Challenges and Future Directions. Sustainability (2071-1050), 17(21).