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All published articles 916

Artificial Intelligence, Cybersecurity and Digital Learning Resilience in Higher Education: An Integrative Review and Capacity-Sensitive Framework for Resource-Constrained Universities

Nsangaette Asuquo Udo, Khama Valentine Arinze, Irene Chinyere Ezugwu & Adesegun Nurudeen Osijirin · Asian Journal of Research in Computer Science · 2026

Purpose: Artificial intelligence (AI) is now embedded in teaching, assessment and administration in higher education, simultaneously widening educational opportunity and institutional cyber exposure. This review examines how AI-related and conventional cyber threats affect the co...

Open access Research Article 10.9734/ajrcos/2026/v19i10925

Comparative Analysis of Feature Extraction Methods on Convolutional Neural Network Models for Classification of Healthy and Unhealthy Cacao Pods

Gernel S. Lumacad, Oswen Kyle S. Galarce & Melody Kristel S. Nulo · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10923

From Fragmented Protective Practices to Secure Digital Learning: Developing the Secure-Dl Cybersecurity Adoption Framework for Higher Education

Shamsuddeen Mohammed Sada, Nnenna Harmony Nwobodo-Nzeribe & Adesegun Nurudeen Osijirin · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10924

Explainable Artificial Intelligence for Zero-Day Cyberattack Detection in Healthcare: A Critical Review and an Integrated Framework for Clinical Cybersecurity

Lucky Omamuzo Ogagayere-Osagie & Opeoluwa Kajero · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10922

Power-aware Lightweight Authentication in Resource-constrained Devices: A Review

M. M. Veeresha, S. VINAY & G. B. Nagaraja · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10918

Artificial Intelligence Classification Algorithms for Leukaemia Diagnosis: A Structured Review of Model Performance and Clinical Readiness

Okwedi Kelicha, A. C. Eberendu & C. E. Nwokorie · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10920

Password Management Practices, Authentication Burden, and Institutional Cybersecurity Support among Students and Staff at a Health Training Institution in Ghana: A Cross-Sectional Study

Williams Opoku, Mustapha Bin Usman, Albert Opoku, Thomas A. Asafo Adjei, Emmanuel Mensah Owusu & Dieshonnie Aboagye Dacosta · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10921

A Retrieval-augmented Generation Framework for Policy-grounded Course Advising in Higher Education

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 Article 10.9734/ajrcos/2026/v19i10917

Self-healing Microservice Architecture Using Autonomous AI Agents for Cloud Applications

Johnson Chidi Iheanachor · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10916

A Multi-Layer Security Evaluation Framework for Hardening Kubernetes in Devsecops Pipelines: A Quantitative Experimental Evaluation

Olajide Adegunwa & Oluwatobi Seun Solomon · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10913

Artificial Intelligence and Post-Quantum Cryptography for Healthcare Cybersecurity: A Critical Review of Techniques, Architectures, and Open Challenges

Bello Ijasini, Ibrahim Manga, Bulus Bali & Yawachi Aaron Yunusa · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i10914

Design and Evaluation of an Interactive Micro Stage Control System Based on ESP32 S3 for AI Theatre Applications

Cai Chong, Su Han & Ma MaoSheng · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i9912

Edge-aware Emotion-adaptive Music Playback: A Prototype Reference Architecture with MobileNetV3 Facial Mood Sensing and Hybrid Context-aware Ranking

O. S. Johnson & G. U. Nwamuruamu · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i9910

Ensemble Machine Learning for Student Performance Prediction in Higher Education: A Critical Review of Predictive Gains, Methodological Quality and Deployment Constraints

Okwedi Kelicha, Ugochukwu Febechi Blessing, Adanna Anyanwu & Chukwueke Nwagbara · Asian Journal of Research in Computer Science · 2026

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 Article 10.9734/ajrcos/2026/v19i9911