T. O. Omotehinwa

Examining the developments in scheduling algorithms research: A bibliometric approach

T. O. Omotehinwa, 2022, Heliyon.

A Model for Predicting the Class of Illicit Drug Suspects and Offenders

O. S. Balogun, R. Agjei, S. N. O. Devine, 2021, Journal of Drug Issues.

Application of Deep Learning Techniques and Bayesian Optimization with Tree Parzen Estimator in the Classification of Supply Chain Pricing Datasets of Health Medications

O. Oluwagbemi, E. Dada, D. Oyewola, 2022, Applied Sciences.

Extracting the frequent sequential patterns among the factors associated with neonatal birthweight

Dr. Emmanuel Kolog Awuni, S. N. O. Devine, D. Atsa’am, 2022, Journal of Neonatal Nursing.

Hyperparameter Optimization of Ensemble Models for Spam Email Detection

D. Oyewola, T. O. Omotehinwa, 2023, Applied Sciences.

A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis

E. Dada, D. Oyewola, T. O. Omotehinwa, 2023, Healthcare Analytics.

Performance Evaluation of Supervised Ensemble Cyber Situation Perception Models for Computer Network

T. O. Omotehinwa, S. S. Olofintuyi, 2021, advances in multidisciplinary & scientific research journal publication.

COVID-19: Extracting the Pattern of Morbidity and Mortality Among Countries in the African Region

O. S. Balogun, Dr. Emmanuel Kolog Awuni, R. Agjei, 2022, Advances in Theory and Practice of Emerging Markets.

EEMDS: Efficient and Effective Malware Detection System with Hybrid Model based on XceptionCNN and LightGBM Algorithm

N. Blamah, T. O. Omotehinwa, M. Onoja, 2022, Journal of Computing and Social Informatics.