Recommender systems assist users in identifying relevant products or services by predicting preferences from available interaction data. Collaborative filtering commonly relies on user-item ratings, while model-based approaches learn predictive representations from these ratings....
Open access
Research Article10.9734/ajrcos/2026/v19i9909
Aims: Road potholes are a leading cause of vehicle damage, reduced road safety, and increased accident risk, particularly in developing countries where road maintenance resources are limited. Existing automated detection systems rely predominantly on single-modality approaches, e...
Open access
Research Article10.9734/ajrcos/2026/v19i9908
Many tertiary institutions continue to rely on fragmented, manual, and reactive academic-advising processes, which may delay access to timely student support. This study developed and evaluated a web-based academic advising platform integrating Extreme Gradient Boosting (XGBoost)...
Open access
Research Article10.9734/ajrcos/2026/v19i9907
Credit card fraud detection is complicated by the severe class imbalance typical of transaction data, because fraudulent cases represent only a small proportion of observations. This study develops a neural-network-based model for classifying transactions as legitimate or fraudul...
Open access
Research Article10.9734/ajrcos/2026/v19i9906
Examination preparation for the General Certificate of Education in Cameroon relies heavily on static past question booklets that treat every learner identically regardless of what that learner has already mastered. This paper reports the design, implementation, and simulation-ba...
Open access
Research Article10.9734/ajrcos/2026/v19i9905
Aims: This project presents the development and implementation of an AI-based traffic violation detection system designed to automate the monitoring of road traffic violations using CCTV footage and computer vision techniques. The aim is to create a comprehensive solution that ca...
Open access
Research Article10.9734/ajrcos/2026/v19i9904
Phishing remains the dominant entry point through which the personal, financial and transactional data held by electronic commerce platforms are compromised, and the research response has been overwhelmingly computational. Several hundred studies now propose intelligent models ba...
Open access
Research Article10.9734/ajrcos/2026/v19i9903
Visual Question Answering (VQA) requires effective cross-modal reasoning between visual content and natural-language questions. This challenge is particularly significant for Vietnamese due to the relatively limited availability of annotated VQA resources. This study proposes a d...
Open access
Research Article10.9734/ajrcos/2026/v19i9901
Loraine Mutune, Tecla Mutave Kyalo, John Kamwele Mutinda, David Kipngetich Chepkonga, Jackson Ndoto Munyao, Stacey Jabeha, Amos Kipkorir Langat, Charles Otieno Ndede, Collins Otieno Owuor, Erick Munala Sifuna & Mercy Cherop·Asian Journal of Research in Computer Science·2026
Weakly supervised semantic segmentation has emerged as a promising approach for reducing the annotation burden associated with dense pixel-level labelling. Among weak supervision strategies, point supervision offers an attractive compromise by requiring only a small subset of lab...
Open access
Research Article10.9734/ajrcos/2026/v19i9902
This study assesses air quality across 15 major cities worldwide using a Python-based Mamdani Fuzzy Inference System (FIS). The analysis integrates six pollutants—PM₂.₅, PM₁₀, NO₂, SO₂, CO, and O₃—from the selected global-city dataset. Each pollutant is represented through lingui...
Open access
Research Article10.9734/ajrcos/2026/v19i8900
David Kipngetich Chepkonga, Amos Kipkorir Langat, Ebenezer Esenogho, Mohamed Abdirahman Jama, Collins Otieno Owuor, Winnie Jepkonga Kulei, Charles Otieno Ndede, Erick Munala Sifuna, Samuel Kipsang Kaptum, Fred Junior Onyango, John Kamwele Mutinda & Aymar AKILIMALI·Asian Journal of Research in Computer Science·2026
Malaria remains one of the most significant causes of morbidity and mortality in tropical and subtropical regions, and timely diagnosis is essential for effective case management. Microscopy is the traditional parasitological reference standard, while rapid diagnostic tests (RDTs...
Open access
Research Article10.9734/ajrcos/2026/v19i8899
Information privacy and data security governance increasingly depend on sustained human attention: employees must interpret warnings, follow changing policies, report anomalies, manage credentials, make disclosure decisions and repeatedly consent to data practices. Yet governance...
Open access
Research Article10.9734/ajrcos/2026/v19i8898
Traditional irrigation systems can involve substantial water wastage, uneven water distribution, and high labour requirements. This study developed an intelligent Internet of Things (IoT)-enabled automated drip irrigation system with real-time water-level monitoring and adaptive...
Open access
Research Article10.9734/ajrcos/2026/v19i8897
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