Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection

FO Aghware, AA Ojugo, W Adigwe… - Journal of …, 2024 - dl.futuretechsci.org
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …

Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing

F Omoruwou, AA Ojugo… - Journal of Computing …, 2024 - dl.futuretechsci.org
The occurrence of scorch during the production of flexible polyurethane is a significant issue
that negatively impacts foam products' resilience and generally jeopardizes their integrity …

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

BO Malasowe, MI Akazue, EA Okpako… - International Journal of …, 2023 - unidel.edu.ng
The post covid-19 studies have reported significant negative impact witnessed on global
education and learning with the closure of schools' physical infrastructure from 2020 to …

BEHeDaS: A Blockchain Electronic Health Data System for Secure Medical Records Exchange

JK Oladele, AA Ojugo, CC Odiakaose… - Journal of …, 2024 - dl.futuretechsci.org
Blockchain platforms propagate into every facet, including managing medical services with
professional and patient-centered applications. With its sensitive nature, record privacy has …

IMANoBAS: An Improved Multi-Mode Alert Notification IoT-based Anti-Burglar Defense System

EU Omede, AE Edje, MI Akazue… - Journal of …, 2024 - dl.futuretechsci.org
Burglary involves forced or unauthorized entry, which leads to damage or loss of property
having monetary or emotional value and, more severely, puts lives at risk. The dire need for …

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

RE Ako, FO Aghware, MD Okpor… - Journal of …, 2024 - dl.futuretechsci.org
Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …

CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique

AA Ojugo, PO Ejeh, MI Akazue… - Journal of …, 2023 - dl.futuretechsci.org
Besides the inherent benefits of exchanging information and interactions between nodes on
a social graph, they can also become a means for the propagation of knowledge. Social …

Pilot study on enhanced detection of cues over malicious sites using data balancing on the random forest ensemble

MD Okpor, FO Aghware, MI Akazue… - Journal of Future …, 2024 - dl.futuretechsci.org
The digital revolution frontiers have rippled across society today–with various web content
shared online for users as they seek to promote monetization and asset exchange, with …

[PDF][PDF] Forging a user-trust hybrid memetic modular neural network card fraud detection ensemble: A Pilot study

AA Ojugo, MI Akazue, PO Ejeh… - Journal of Computing …, 2023 - researchgate.net
The advent of the Internet as an effective means for resource sharing has consequently, led
to proliferation of adversaries, with unauthorized access to network resources. Adversaries …

[PDF][PDF] UNMASKING FRAUDSTERS: Ensemble Features Selection to Enhance Random Forest Fraud Detection

MI Akazue, IA Debekeme, AE Edje, C Asuai… - Journal of Computing …, 2023 - academia.edu
Fraud detection is used in various industries, including banking institutes, finance,
insurance, government agencies, etc. Recent increases in the number of fraud attempts …