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
The proliferation of Internet of Things (IoT) devices has created unprecedented security challenges, with intrusion detection systems (IDS) facing significant difficulties in accurately identifying diverse attack patterns within highly imbalanced network traffic datasets. Traditi...
Open access
Research Article10.9734/ajrcos/2026/v19i2825
Accurate predictive models are essential for analysing COVID-19 mortality trends. This study evaluates the effect of a novel customised data pre-processing pipeline on ten machine learning models predicting COVID-19 mortality in India, using data from Our World in Data (OWID). Ou...
Open access
Research Article10.9734/ajrcos/2026/v19i2826
Forecasting retirements is a strategic challenge for human resource management in public administrations, where workforce planning and service continuity depend on reliably anticipating these departures. In practice, retirement decisions are often based on limited criteria, such...
Open access
Research Article10.9734/ajrcos/2026/v19i2824
The majority of biographical texts contain lengthy unstructured text and are often written by the individual authors. Moreover, research has shown the importance of analysing this textual data to extract semantic meanings and connections among researchers. The study adopted the S...
Open access
Research Article10.9734/ajrcos/2026/v19i2823
Ferry DEMISA BATADILA, Hans Boyeye Bolanga, Patrick Bombo Londa, Nathan Mana Mukendi, Samuel Mulowayi Lutumba, Richard KITONDUA LUBANZDIO & Nathanaël Kasoro Mulenda·Asian Journal of Research in Computer Science·2026
Pulmonary tuberculosis remains a major public health problem, the diagnosis of which remains difficult due to the variability of clinical manifestations and the inherent uncertainty of medical data, particularly in resource-limited settings. Classical deterministic diagnostic app...
Open access
Research Article10.9734/ajrcos/2026/v19i2822
The Nigerian electricity sector is faced with serious challenges of power outages, an insufficiently regulated and controlled electricity supply and poor maintenance due to a lack of system automation and smart grid systems for real-time substation monitoring. In this study, an I...
Open access
Research Article10.9734/ajrcos/2026/v19i2821
Taxonomy constitutes a fundamental aspect of the study of biological diversity, conservation, and ecological and evolutionary research. Nevertheless, traditional taxonomic methodologies, which depend on morphological and molecular analyses, are frequently slow, necessitate consid...
Open access
Research Article10.9734/ajrcos/2026/v19i1820