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Publications

24 publications

  1. Akinsola, J. E. T., Olatunbosun, M. A., Olaniyi, I. M., Adeagbo, M. A., Olajubu, E. A., & Aderounmu, G. A. (2025). Application of Artificial Intelligence on MNIST Dataset for Handwritten Digit Classification for Evaluation of Deep Learning Models. Acadlore Transactions on AI and Machine Learning, 4(3), 219–234. https://doi.org/10.56578/ataiml040305 Details of Application of Artificial Intelligence on MNIST Dataset for Handwritten Digit Classification for Evaluation of Deep Learning Models
  2. Kasali, A. A., Adeagbo, M. A., Ogheneruemu, K. L. O., Orimogunje, O. K., Oladapo, J. O., & Ojewande, A. O. (2023). Development of a LoRa-Based Distress Alerting System for Campus Emergency Communications. School of Engineering Technology Annual International Conference (SAINCONF), 8–18. Details of Development of a LoRa-Based Distress Alerting System for Campus Emergency Communications
  3. Akinsola, J. E. T., Abimbola, R. O., Adeagbo, M. A., Awoseyi, A. A., Onipede, F. O., & Yusuf, A. A. (2022). Application of Artificial Intelligence for DDoS Attack Detection and Prevention on Cyber Physical Systems Using Deep Learning. In Internet of Things and Cyber Physical Systems (CRC Press) (pp. 83–126). https://doi.org/10.1201/9781003283003-5 Details of Application of Artificial Intelligence for DDoS Attack Detection and Prevention on Cyber Physical Systems Using Deep Learning
  4. Awoseyi, A. A., Akinsola, J. E. T., Oladoja, O. M., Adeagbo, M., & Adebowale, O. O. (2022). Hybridization of Decision Tree Algorithm Using Sequencing Predictive Model for COVID-19. In Emerging Technologies for Combatting Pandemics (CRC Press) (pp. 201–221). https://doi.org/10.1201/9781003324447-10 Details of Hybridization of Decision Tree Algorithm Using Sequencing Predictive Model for COVID-19
  5. Oladapo, K. A., Akinsola, J. E. T., Adeagbo, M., Onipede, F., Akinseinde, S. A., & Yusuf, A. A. (2022). Intelligent Optimization and Computational Learning Techniques for Mitigating Pandemics. In Emerging Technologies for Combatting Pandemics (CRC Press) (pp. 143–173). https://doi.org/10.1201/9781003324447-8 Details of Intelligent Optimization and Computational Learning Techniques for Mitigating Pandemics