Sleep disorders such as insomnia and obstructive sleep apnea have a significant impact on physical health, mental well-being, and overall quality of life. Early and accurate identification of these disorders is essential for effective intervention; however, traditional diagnostic...
Open access
Research Article10.9734/ajrcos/2026/v19i3837
The rapid adoption of artificial intelligence (AI) in healthcare analytics has raised significant concerns regarding patient data privacy, security, and regulatory compliance. This study develops a Privacy-by-Design (PbD) data governance model tailored for AI-driven healthcare an...
Open access
Research Article10.9734/ajrcos/2026/v19i3835
Kabeya Tshiseba Cedric, Dionga Ndibu Ornella, LUBONGO MUEMBE Georgine, Gloire Alonda Madomba, Simplice Eale Botuli, Joel Mangoma Joel & Kevin MONGOY BONYOLO·Asian Journal of Research in Computer Science·2026
Malware continues to evolve in ways that reduce the effectiveness of signature matching and evade analysis environments, creating demand for early detection methods that can flag suspicious binaries before behavior is observed. This article surveys information-theoretic approache...
Open access
Research Article10.9734/ajrcos/2026/v19i3834
This study proposes and quantitatively evaluates a secure-by-containment architectural framework for deploying agentic artificial intelligence (AI) within operational technology and industrial control system (OT/ICS) environments. Agentic AI systems introduce autonomous planning...
Open access
Research Article10.9734/ajrcos/2026/v19i3833
Usman Idris Ismail, Suleiman Salihu Jauro, Nuhu Abdulalim Muhammad, Saadatu Ali Jijji, Joshua C Shawulu & Abdullahi Adam Galadima·Asian Journal of Research in Computer Science·2026
Conventional moderation practices, which rely on human reviewers to identify and remove harmful contents are often labor-intensive, subjective, and unable to cope with the massive volume of user-generated data produced daily. Hate text speech has become a pervasive challenge acro...
Open access
Research Article10.9734/ajrcos/2026/v19i2832
Transfer learning has emerged as a transformative paradigm in deep learning–based image processing, enabling effective knowledge reuse from large-scale pretrained models to domain-specific tasks with limited labelled data. While training deep convolutional neural networks (CNNs)...
Open access
Research Article10.9734/ajrcos/2026/v19i2831
This research introduces a coverless steganography framework that embeds secret messages within the latent space of images produced by a generative adversarial network (GAN). It facilitates clandestine transmission without altering any pre-existing cover media. The sender encodes...
Open access
Research Article10.9734/ajrcos/2026/v19i2829
Wurood Fadhil Abbas, Muhammad N. Jawad, Hamzah Hadi Qasim, Ola J. Saleh, Ahmed Kareem Lateef, Karrar Hassan Thamir, Abdulwahhab Essa Hamzah, Mahmood Al-Shareeda & Ahmed Hameed Majeed·Asian Journal of Research in Computer Science·2026
The development speed of IoT applications has brought with it ultra-low delay, high reliability, large-scale access, and energy saving needs. 5G makes massive IoT possible, but new use cases like autonomous systems, XR, Industry 4.0, and smart cities are beyond what our networks...
Open access
Research Article10.9734/ajrcos/2026/v19i2830
Cloud computing introduces significant security challenges, particularly sophisticated intrusion attempts that threaten data integrity and service availability. Traditional intrusion detection systems (IDS) prioritize detection accuracy while overlooking computational resource co...
Open access
Research Article10.9734/ajrcos/2026/v19i2827
Making accurate predictions of students’ academic performance is a critical requirement in contemporary educational analytics, which helps in the early detection of at-risk students. Although machine learning models have shown remarkable predictive capabilities, they are not easi...
Open access
Research Article10.9734/ajrcos/2026/v19i2828