Paul Teye, Stephen Opoku Oppong, Dickson Keddy Wornyo, Daniel Danso Essel, Benjamin Ghansah, Muhammed Siraj, Teye, Paul, Wornyo, Dickson Keddy, Oppong, Stephen Opoku & Essel, Daniel Danso·Asian Journal of Research in Computer Science·2026
Software vulnerability assessment is essential for prioritising remediation, yet the manual assignment of Common Vulnerability Scoring System metrics is time-consuming, subjective, and prone to error. This study develops and evaluates a design science artefact for predicting vuln...
Open access
Research Article10.9734/ajrcos/2026/v19i8896
Customer lifetime value (CLTV) prediction supports the allocation of marketing resources and the identification of high-value customers in e-commerce. Traditional approaches may not adequately represent non-linear and multidimensional purchasing behaviour, particularly when custo...
Open access
Research Article10.9734/ajrcos/2026/v19i8895
Rapid digital transformation and evolving skill requirements have intensified career uncertainty and skill mismatches among information technology job seekers. Existing career-guidance tools often provide fragmented and static support, limiting personalised and future-oriented ca...
Open access
Research Article10.9734/ajrcos/2026/v19i8893
Anas Tukur Balarabe, Najib Hassan Adamu, Mahmood Umar, Abdulrashid Sani, Hauwau Ibrahim Binji, Adamu, Najib Hassan & Binji, Hauwau Ibrahim·Asian Journal of Research in Computer Science·2026
Despite the growing need for object-detection systems, companies, governments, industries, and organisations face significant challenges in implementing them to address real-world problems. Object detection supports applications ranging from quality control and inventory manageme...
Open access
Research Article10.9734/ajrcos/2026/v19i8894
Task scheduling has often been treated as a secondary concern in fog computing, something to address only after the architecture is defined. This review argues that it is instead the central runtime decision in the fog to cloud continuum, because it determines whether the promise...
Open access
Research Article10.9734/ajrcos/2026/v19i8891
Artificial intelligence systems increasingly mediate consequential decisions in credit allocation, healthcare triage, employment screening and public administration, yet the data underpinning these decisions is frequently incomplete, mislabelled, stale or quietly altered as it mo...
Open access
Research Article10.9734/ajrcos/2026/v19i8892
Unreliable grid electricity constrains laboratory teaching and research activities in many Nigerian institutions because conventional direct current power supplies depend on continuous mains availability. This study designed and developed a rechargeable variable laboratory bench...
Open access
Research Article10.9734/ajrcos/2026/v19i8889
Career motivation is influenced by a variety of academic experiences, family influences, socioeconomic factors, and individual characteristics. Understanding how these factors drive students' career decisions is important for developing effective career guidance programmes and en...
Open access
Research Article10.9734/ajrcos/2026/v19i8890
Maintaining suitable water quality is essential for small-scale aquaculture, but manual monitoring and maintenance can be labour-intensive and inconsistent. This study presents an Internet of Things (IoT)-based automated water monitoring and maintenance system designed for Rohu (...
Open access
Research Article10.9734/ajrcos/2026/v19i7888
The integration of artificial intelligence and machine learning into mechanical engineering has moved from a peripheral research interest to a central force reshaping design, simulation, manufacturing, and maintenance practice. This review synthesises the state of the art across...
Open access
Research Article10.9734/ajrcos/2026/v19i7887