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 …

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 …

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 …

[PDF][PDF] Empirical evidence of phishing menace among undergraduate smartphone users in selected universities in Nigeria

MI Akazue, AA Ojugo, RE Yoro… - Indonesian Journal of …, 2022 - academia.edu
The daily rise in the adoption of information and communication technology (ICT) devices vis-
à-vis their usage over the Internet due to its ease of use, speed, accuracy, and portability …

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

FO Aghware, RE Yoro, PO Ejeh… - International …, 2023 - pdfs.semanticscholar.org
Fraud is the unlawful acquisition of valuable assets gained via intended misrepresentation. It
is a crime committed by either an internal/external user, and associated with acts of theft …

FiMoDeAL: pilot study on shortest path heuristics in wireless sensor network for fire detection and alert ensemble

MI Akazue, AE Edje, MD Okpor, W Adigwe… - Bulletin of Electrical …, 2024 - beei.org
With the incessant outbreak of fire, the heavy loss to both lives and properties in the society
fire has since become a critical issue and challenge that needs our daily attention to be …

Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles

MD Okpor, FO Aghware, MI Akazue… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …

[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 …

A novel framework for credit card fraud detection

A Mniai, M Tarik, K Jebari - IEEE Access, 2023 - ieeexplore.ieee.org
Credit card transactions have grown considerably in the last few years. However, this
increase has led to significant financial losses around the world. More than that, processing …

Credit card fraud detection using enhanced random forest classifier for imbalanced data

AHM Aburbeian, HI Ashqar - International conference on advances in …, 2023 - Springer
The credit card has become the most popular payment method for both online and offline
transactions. The necessity to create a fraud detection algorithm to precisely identify and …