Olubukola Omolara Adebiyi, Anuoluwapo Deborah Popoola, Pelumi Damola Adeyinka, Aisha Temitope Arigbabu & Omobolaji Olufunmilayo Olateju·Asian Journal of Research in Computer Science·2026
This study explores how integrating blockchain technology with artificial intelligence can strengthen trust, transparency, and regulatory compliance in cross-border financial transactions. Drawing on open-source international datasets and quantitative analysis, the research shows...
Open access
Research Article10.9734/ajrcos/2026/v19i1818
Seun Michael Oyekunle, Anuoluwapo Deborah Popoola, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Asian Journal of Research in Computer Science·2025
This study investigates the integration of behavioural biometrics and data governance in enhancing fraud prevention systems within the banking sector. Behavioural biometrics refers to the analysis of unique patterns in user interactions—such as typing rhythm, mouse movement, and...
Open access
Research Article10.9734/ajrcos/2025/v18i5672
Isaac Adinoyi Salami, Anuoluwapo Deborah Popoola, Michael Olayinka Gbadebo, Faith Hauwa Oluwapamilerin Kolo & Temilade Oluwatoyin Adesokan-Imran·Asian Journal of Research in Computer Science·2025
This study investigates the limitations of traditional fraud detection techniques in digital banking and explores the applicability of AI-powered behavioral biometrics as a next-generation solution for enhancing cybersecurity. Using publicly available datasets, including the PayS...
Open access
Research Article10.9734/ajrcos/2025/v18i4632
Temilade Oluwatoyin Adesokan-Imran, Anuoluwapo Deborah Popoola, Faith Hauwa Oluwapamilerin Kolo, Valerie Ojinika Ejiofor & Isaac Adinoyi Salami·Journal of Engineering Research and Reports·2025
This study introduces a novel Multilevel Clustering Framework designed for automated threat attribution and categorization across various industries using a comprehensive dataset from the MITRE ATT&CK repository. The methodology integrates K-means Clustering, Hierarchical Clu...
Open access
Research Article10.9734/jerr/2025/v27i41469
Temilade Oluwatoyin Adesokan-Imran, Anuoluwapo Deborah Popoola, Valerie Ojinika Ejiofor, Ademola Oluwaseun Salako & Ogechukwu Scholastica Onyenaucheya·Journal of Engineering Research and Reports·2025
This study investigates the application of artificial intelligence (AI) and machine learning (ML) in predictive cybersecurity risk modeling within the healthcare sector. Given the increasing digitization of healthcare systems and the corresponding rise in cyber threats, it is cru...
Open access
Research Article10.9734/jerr/2025/v27i41463
The rapid adoption of artificial intelligence (AI) in healthcare analytics has raised significant concerns regarding patient data privacy, security, and regulatory compliance. This study develops a Privacy-by-Design (PbD) data governance model tailored for AI-driven healthcare an...
Open access
Research Article10.9734/ajrcos/2026/v19i3835
Akinde Michael Ogunmolu, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Anthony Obulor Olisa & Oluwatobi Bamigbade·Journal of Energy Research and Reviews·2025
This research develops and validates autonomous artificial intelligence agents for fault detection and self-healing in smart manufacturing systems within the context of Industry 4.0, addressing critical challenges in operational efficiency and reliability. Motivated by the need t...
Open access
Research Article10.9734/jenrr/2025/v17i8445
Abayomi Titilola Olutimehin, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Akinde Michael Ogunmolu & Faith Hauwa Oluwapamilerin Kolo·Asian Journal of Research in Computer Science·2025
Predictive maintenance has emerged as a cornerstone of Industry 4.0, enabling manufacturers to proactively identify and address equipment failures, minimize unplanned downtime, and optimize operational costs. However, realizing effective predictive maintenance in smart manufactur...
Open access
Research Article10.9734/ajrcos/2025/v18i7724