Background: Kubernetes is widely used to orchestrate containerised workloads in DevSecOps environments; however, its complex configuration, access-control mechanisms, software supply chain, and runtime operations create multiple security challenges. Existing security controls oft...
Open access
Research Article10.9734/ajrcos/2026/v19i10913
Aims: This critical review examines how artificial intelligence (AI) and post-quantum cryptography (PQC) can be combined to strengthen cybersecurity in healthcare information systems, with an emphasis on the Internet of Medical Things (IoMT), clinical data platforms, zero-trust a...
Open access
Research Article10.9734/ajrcos/2026/v19i10914
Aims: This study aimed to design and evaluate a low-cost ESP32-S3-based interactive micro stage control system for future AI Theatre applications. The objective was to develop a compact embedded prototype that could support stage demonstrations, theatre education, interactive exh...
Open access
Research Article10.9734/ajrcos/2026/v19i9912
Music recommendation systems typically model long-term taste more effectively than moment-to-moment affective context. This paper presents a prototype reference architecture for emotion-adaptive music playback that integrates three artificial-intelligence components: MobileNetV3-...
Open access
Research Article10.9734/ajrcos/2026/v19i9910
Ensemble machine learning has become the default modelling strategy in research on the prediction of student academic performance in higher education, and published comparisons routinely report that bagged, boosted and stacked combinations of base classifiers outperform single le...
Open access
Research Article10.9734/ajrcos/2026/v19i9911
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