Fidelis Obukohwo Aghware

Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection

Fidelis Obukohwo Aghware, Arnold Adimabua Ojugo, Wilfred Adigwe et al. · Journal of Computing Theories and Applications · 2024 · 28 citations · Full text

Fraud Detection, Engineering, Machine Learning +16

Assessing contributor features to phishing susceptibility amongst students of petroleum resources varsity in Nigeria

Rume Elizabeth Yoro, Fidelis Obukohwo Aghware, Bridget Ogheneovo Malasowe et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2022 · 25 citations · Full text

Cybersecurity, Engineering, Cyber Attacks +18

DeLClustE: Protecting Users from Credit-Card Fraud Transaction via the Deep-Learning Cluster Ensemble

Fidelis Obukohwo Aghware, Rume Elizabeth Yoro, Patrick Ogholuwarami Ejeh et al. · International Journal of Advanced Computer Science and Applications · 2023 · 25 citations · Full text

Fraud Detection, Engineering, Machine Learning +17

Adaptive Learner-CBT with Secured Fault-Tolerant and Resumption Capability for Nigerian Universities

Bridget Ogheneovo Malasowe, Maureen Ifeanyi Akazue, Ejaita Abugor Okpako et al. · International Journal of Advanced Computer Science and Applications · 2023 · 20 citations · Full text

E-learning, Virtual Environments, Engineering +25

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost

Rita Erhovwo Ako, Fidelis Obukohwo Aghware, Margaret Dumebi Okpor et al. · Journal of Computing Theories and Applications · 2024 · 14 citations · Full text