ACADEMIC PUBLICATIONS

JOURNALS PAPERS

1.       Olugboja, A. (2024). Securing AI Models: A Comprehensive Cybersecurity Approach. April 2024 Archives of Business Research 12(3):233-243.   DOI:10.14738/abr.123.16770

2.       Olugboja, A. (2023). A Review on the Challenges of Artificial Intelligence in HealthCare Systems in Rural Areas. European Journal of Applied Sciences, 11(6), 128–133. https://doi.org/10.14738/aivp.116.15309

3.       Olugboja, A., Wang, Z., & Yanxia, S. (2021). Parallel Convolutional Neural Networks for Object Detection. January 2021Journal of Advances in Information Technology 12(4) DOI:10.12720/jait.12.4.279-286

4.       Olugboja, A., & Wang, Z. (2019). Intelligent Waste Classification System Using Deep Learning Convolutional Neural Network. January 2019 Procedia Manufacturing 35:607-612 DOI: 10.1016/j.promfg.2019.05.086

CONFERENCE PAPERS

5.       Olugboja, A. (2025). Heart Attack Prediction Using Machine Learning: A Comparative Model Evaluation. Proceedings of the International Conference on Health Informatics and Medical Systems (ICHIMS), Department of Business and Economics, School of Business and Information Systems.

6.       Olugboja, A, (2025).  Integrating AI and Data Mining Tools into Information Systems Courses-A Case Study of Successes, Challenges, and Student Outcomes, 2025 14th International Conference on Educational and Information Technology (ICEIT), Guangzhou, China, 2025, pp. 476-483, doi: 10.1109/ICEIT64364.2025.10975941.

7.       Olugboja, A. (2025). Optimizing Predictive Performance: A Comparative Study of Machine Learning Algorithms for Classification Tasks. In: Arabnia, H.R., Deligiannidis, L., Ghareh Mohammadi, F., Amirian, S., Shenavarmasouleh, F. (eds) Computational Science and Computational Intelligence. CSCI 2024. Communications in Computer and Information Science, vol 2501. Springer, Cham. https://doi.org/10.1007/978-3-031-90341-0_11

8.       Olugboja, A. (2025). Data Science in Healthcare Systems: A Comprehensive Review and Future Directions. In: Arabnia, H.R., Deligiannidis, L., Shenavarmasouleh, F., Amirian, S., Ghareh Mohammadi, F. (eds) Computational Science and Computational Intelligence. CSCI 2024. Communications in Computer and Information Science, vol 2509. Springer, Cham. https://doi.org/10.1007/978-3-031-94953-1_15

9.       Olugboja, A., Kamruzzaman, A. (2025). Enhancing Diabetes Mellitus Prediction: A Comparative Study of Random Forest and Stacking Ensemble Methods. In: Alsadoon, A., Shenavarmasouleh, F., Amirian, S., Ghareh Mohammadi, F., Arabnia, H.R., Deligiannidis, L. (eds) Health Informatics and Medical Systems and Biomedical Engineering. CSCE 2024. Communications in Computer and Information Science, vol 2259. Springer, Cham. https://doi.org/10.1007/978-3-031-85908-3_32

10.   Olugboja, A., & Agbakwuru, E. M. (2024). Bridging Healthcare Disparities in Rural Areas: Leveraging AI for Equitable Access. ACDSA. pp. 1-6, doi: 10.1109/ACDSA59508.2024.10467443.

11.   Olugboja, A., & Wang, Z. (2017). Malaria Parasite Detection using Machine Learning Classifiers. July 2017 DOI: 10.1109/ICMLC.2017.8107772 Conference: 2017 International Conference on Machine Learning and Cybernetics (ICMLC)

12.   Olugboja, A., & Wang, Z. (2016). Detection of Moving Objects Using Foreground Detector and Morphological Filter. July 2016 DOI: 10.1109/ICISCE.2016.80 Conference: 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). 2(8): 329-333.