Publications

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

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

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).

Emmoh, P. U., Eke, C. I., Moses, T., & Ovre, A. J. (2025). Feature Selection Techniques for High-Dimensional Data Analysis: Applications, Challenges, and Future Directions. Nigerian Journal of Technological Development, 22(1), 201-223.

EMMOH, P. U., C.I Eke & Moses, T. (2025). A feature selection and scoring scheme for dimensionality reduction in a machine learning task. Journal of the Nigerian Society of Physical Sciences, 2273-2273.

Al-Shamayleh, A. S., Adwan, O., Alsharaiah, M. A., Hussein, A. H., Kharma, Q. M., & Eke, C. I. (2024). A comprehensive literature review on image captioning methods and metrics based on deep learning techniques. Multimedia Tools and Applications, 1-50.

Aloke, E. J., Abah, J., Moses, T., & Eke, C. I. (2024). COMBATING IMAGE DECEPTION: A CONVOLUTIONAL NEURAL NETWORK APPROACH. In International Conference on Technological Solutions for Smart Economy| SmartEco (p. 306) (Published).