Objective classification of cacao pods can support consistent assessment of pod health under field conditions. This study developed and compared convolutional neural network (CNN) models for classifying healthy and unhealthy cacao pods using raw images and three feature extractio...
Open access
Research Article10.9734/ajrcos/2026/v19i10923
Digital learning depends on students consistently applying several layers of cybersecurity protection, yet higher-education interventions often rely on general awareness messages or isolated technical training. This study developed an evidence-informed, theory-integrated framewor...
Open access
Research Article10.9734/ajrcos/2026/v19i10924
Healthcare delivery organisations have become preferred targets for cyber intrusion, and the clinical consequences of successful attacks now extend beyond information loss to measurable disruption of emergency, critical and diagnostic care. Signature-based defences cannot recogni...
Open access
Research Article10.9734/ajrcos/2026/v19i10922
The use of Internet of Things (IoT) applications has increased. However, IoT devices have limited computing, memory, bandwidth, and battery power. Therefore, authentication methods that provide security while using fewer resources are required. Traditional security mechanisms, su...
Open access
Research Article10.9734/ajrcos/2026/v19i10918
Modern DataOps environments are increasingly complex because of distributed continuous integration/continuous delivery (CI/CD) frameworks within lakehouse architectures. This scale amplifies failures arising from schema drift, transient network errors, and upstream data inconsist...
Open access
Research Article10.9734/ajrcos/2026/v19i10919
Leukaemia diagnosis and classification increasingly combine morphology with immunophenotypic, cytogenetic and molecular information, while artificial intelligence (AI) offers a potential means of standardising image-based assessment and reducing repetitive workload. This structur...
Open access
Research Article10.9734/ajrcos/2026/v19i10920
Background: Secure authentication is increasingly important in health-professions education because students and staff use digital platforms that contain personal, academic, and potentially practice-related information. Yet password security is constrained by memory burden, passw...
Open access
Research Article10.9734/ajrcos/2026/v19i10921
Oladipo Sunday, Kuyoro Shade, Akinwunmi Damilare, Abel Samuel, Ifeanyichukwu Princewill, Adenuga Ayomide Daniel, Ifeanyi Emeka Mathew & Udosen Alfred·Asian Journal of Research in Computer Science·2026
Course advising in higher education requires students and advisers to integrate information from course catalogues, programme requirements, departmental handbooks, prerequisite rules, and institutional regulations. This study presents a Retrieval-Augmented Generation (RAG) framew...
Open access
Research Article10.9734/ajrcos/2026/v19i10917
Cloud-native microservice applications provide scalability and deployment flexibility but remain susceptible to service failures, cascading faults, and delayed recovery. This study presents a Self-Healing Microservice Architecture (SHMA) that combines Kubernetes-based container o...
Open access
Research Article10.9734/ajrcos/2026/v19i10916
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