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Asian Journal of Research in Computer Science

Published by SCIENCEDOMAIN international · ISSN (electronic) 2581-8260

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916

Articles indexed

124

2026 articles

916

Open access

8,797

Citations (indexed)

Publications by year

Articles (916)

Cybersecurity and Digital Learning in Higher Education: Emerging Threats, Protective Technologies, and Future Directions

Adesegun Nurudeen Osijirin, Leonard C. Anigbo, Oliver Okechukwu, Chima, Agwuama Okporie & Shamsudeen Mohammed Sada · Asian Journal of Research in Computer Science · 2026

Higher education institutions occupy a uniquely exposed position in the global cybersecurity landscape. The convergence of large-scale digital transformation, open-access network philosophies, diverse user populations, and repositories of sensitive personal and research data has...

Open access Research Article 10.9734/ajrcos/2026/v19i7884

CNN-RNN Hybrid Model for Predicting Agricultural Yield from Soil Physico-Chemical Parameters

Evariste Kantshia Bakatubia, Pascaline Kizodisa Mbilankazi, Fortunat Tshimanga Mbuyi, Christian Ntumba Cinema, Charles Djamba Pongembe, Pierre Kamuina Kambayi & Pierre Kafunda Katalay · Asian Journal of Research in Computer Science · 2026

Smart agriculture represents an important challenge for food security and the sustainable optimisation of agricultural production systems. However, accurate agricultural yield prediction remains complex because of the nonlinear interactions among soil physicochemical parameters,...

Open access Research Article 10.9734/ajrcos/2026/v19i7881

AI-Powered Cyber Warfare and the Evolution of Zero Trust Security Architectures in Autonomous Networks

Utin Nyimeobong Archibong, Suleiman S. Abba, Busola Motunrayo Olawale, Adebayo Yusuf Balogun & Oluseyi Peter Adeoye · Asian Journal of Research in Computer Science · 2026

The increasing sophistication of intelligent cyber warfare, in which adversaries exploit artificial intelligence to automate reconnaissance, generate polymorphic malware, and conduct machine-speed attacks, has rendered conventional perimeter security and static Zero Trust impleme...

Open access Research Article 10.9734/ajrcos/2026/v19i7882

A Hybrid Convolutional Neural Network Approach for Context-aware Fashion Recommendation

Sanduni Dewmini Rupasinghe & Maheesha Dhashantha Silva · Asian Journal of Research in Computer Science · 2026

This study aimed to develop a fashion recommendation system that classifies clothing items and recommends complementary outfit pieces based on user-selected style preferences, addressing the limitation of existing systems that rely solely on visual similarity without incorporatin...

Open access Research Article 10.9734/ajrcos/2026/v19i7883

Governance-centered Artificial Intelligence Models for Enhancing Cyber Resilience, Data Privacy, and Regulatory Compliance in U.S. Healthcare Systems

Christopher Ugbong Akeke, Oluwadayo Mafolasere Olaniyi, Busola Motunrayo Olawale, Utin Nyimeobong Archibong & Seun Michael Oyekunle · Asian Journal of Research in Computer Science · 2026

The accelerating adoption of artificial intelligence across United States healthcare systems has intensified concerns over cyber resilience, data privacy, and regulatory compliance, yet existing governance frameworks remain fragmented and difficult to compare. This study addresse...

Open access Research Article 10.9734/ajrcos/2026/v19i7880

A Machine Learning Based Early Warning Framework for CKDu Risk Prediction Using Water Quality Data

Nipuni Narmada Jayamaha & Maheesha Dhashantha Silva · Asian Journal of Research in Computer Science · 2026

This paper proposes and tests an environmental water-quality screening proof-of-concept based on machine learning and routine physicochemical measurements. Although the framework is described as CKDu risk prediction, it should be interpreted strictly as an environmental proxy wat...

Open access Research Article 10.9734/ajrcos/2026/v19i7879

Multimodal Emotion Recognition Using Explainable Hybrid CNN-Transformer Networks

Narote Preetham, Alurwad Tripat Venkatreddy, K. Krunal Yadav, Ankatwar Gajanan & Gajjala Lilly Rani · Asian Journal of Research in Computer Science · 2026

Emotion recognition is central to affective computing because it enables intelligent systems to perceive and respond to human affective states in domains such as healthcare, education, customer service, and human–computer interaction. However, unimodal methods based solely on fac...

Open access Research Article 10.9734/ajrcos/2026/v19i7878

Hybrid Classical–Quantum-Inspired Neural Network with Simulated Variational Circuit for Credit Card Fraud Detection

V. R. Srividhya & Srividhya Ganesan · Asian Journal of Research in Computer Science · 2026

Credit card fraud detection remains a challenging binary classification problem because fraudulent transactions are rare, transaction patterns are complex, and false negatives may have important operational consequences. This study presents a Hybrid Classical–Quantum-Inspired Neu...

Open access Research Article 10.9734/ajrcos/2026/v19i7877

Benchmarking Deepfake Detection Robustness Using a Hybrid CNN and Content Provenance Framework

Hirunima Vidmanthi Senarathna & Maheesha Dhashantha Silva · Asian Journal of Research in Computer Science · 2026

Deepfake detection remains a critical task in digital media forensics because synthetic facial images can undermine the reliability of visual evidence and public communication. This study develops and evaluates a hybrid deepfake detection framework that combines convolutional neu...

Open access Research Article 10.9734/ajrcos/2026/v19i6876

An Intelligent Secondary Decomposition Framework for Enhanced Realized Volatility Forecasting Using Signal Processing and Deep Learning

John Kamwele Mutinda, Revian Awuor Omollo, Jackson Ndoto Munyao, Loraine Mutune, Millicent Auma Omondi, Joyce Akhalakwa Mukolwe, Tecla Mutave Kyalo, Dickson Tulyasingula, Titus Mutua Kioko & Amos Kipkorir Langat · Asian Journal of Research in Computer Science · 2026

Forecasting realised volatility is essential for financial risk management, portfolio optimisation, and derivative pricing. However, financial time series exhibit non-linearity, non-stationarity, and long memory, making accurate prediction challenging. This study proposes a novel...

Open access Research Article 10.9734/ajrcos/2026/v19i6875