Research Repository
Peer-reviewed research spanning adaptive machine learning, financial fraud and AML detection, biometric security, AI for healthcare, precision agriculture, and educational equity.
15 publications
Okunola Orogun, L. Ogungbe, A. Ajani, N. Adegboye, O. Ogunsola
European Journal of Contemporary Education and E-Learning
Explores strategies for deploying AI sustainably and equitably within UK higher education, connecting responsible-AI principles to educational-equity outcomes.
Okunola Orogun, L. Ogungbe, N. Adegboye, T. Adetuyi, S. Alabi
International Journal of Research in Engineering and Science (IJRES)
Examines machine-learning and behavioural-analysis strategies for detecting synthetic identity fraud and strengthening the security of financial ecosystems.
S.A. Oluwadare, I.P. Adegun, Okunola Orogun
International Journal of Research in Engineering and Science (IJRES)
Presents an ensemble deep-learning model that integrates multiple epidemiological data sources to predict Lassa fever outbreaks, developed under a TETFund National Research Fund grant.
Okunola A. Orogun, Oluwaseun S. Adebayo, T.A. Favour-Bethy, O. Otasowie
International Journal of Computer Science and Mobile Computing
Proposes an adaptive accuracy-weighted ensemble approach for credit card fraud detection that responds to concept drift in transaction patterns, improving resilience over static ensemble baselines.
Oluwaseun S. Adebayo, T.A. Favour-Bethy, O. Otasowie, Okunola A. Orogun
International Journal of Computer Science and Mobile Computing
A comparative review of machine-learning and concept-drift techniques applied to credit card fraud detection, surveying model families and their resilience to evolving fraud patterns.
A.A. Babalola, O.O. Ajayi, A.A.A. Adegbite, O.G. Aju, Okunola A. Orogun, T.G. Omomule
NIPES – Journal of Science and Technology Research
Sports-analytics study assessing defensive-line composition as a predictor of drawn matches.
A.T. Oluwayomi, A.O. Olajide, A.A.A. Adetayo, O.G. Aju, Okunola A. Orogun, T.G. Omomule
NIPES – Journal of Science and Technology Research
Sports-analytics study evaluating the false-9 tactical role as a predictor of match outcomes.
Okunola A. Orogun, O.E. Ariyo, O.O. Ajayi, B. Onyekwelu
NIPES Journal of Science and Technology Research
Develops a multiple linear regression model to analyse and predict educational-development indicators across Nigeria.
P. Kostial, Z. Kostialova Jancikova, O. Krejcar, K. Kuca, Okunola A. Orogun, R. Frischer
Advances in Materials Science and Engineering
Materials-science study of the thermal-aging behaviour of Menzolit BMC 3100 composite.
T.G. Omomule, O.O. Ajayi, Okunola A. Orogun
Computers and Electronics in Agriculture (Elsevier)
Applies fuzzy prediction and pattern-analysis methods to model and forecast poultry egg production.
Okunola A. Orogun, O. Fadeyi, O. Krejcar
Future Internet
Proposes a graph-labelling approach to cellular frequency allocation for dense urban areas, improving spectrum efficiency and sustainability of communication systems.
A.O. Ige, A.O. Akingbesote, Okunola A. Orogun
Canadian Open Information Science and Internet Technology Journal
Reviews trust-appraisal mechanisms in conventional e-market environments.
Okunola A. Orogun, O.G. Aju
IRE Journals
Describes the design and implementation of a system for monitoring undergraduate degree projects.
Okunola Orogun, B. Onyekwelu
International Journal of Innovative Research in Science, Engineering and Technology
A machine-learning approach to predicting consumer behaviour in digital-market settings.
O.O. Ajayi, A.A. Omotayo, Okunola A. Orogun, T.G. Omomule, S.M. Orimoloye
Communications on Applied Electronics
Compares performance characteristics of native and hybrid Android application architectures.