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
Fraud detection systems increasingly rely on machine learning models that offer high predictive accuracy but suffer from limited transparency and interpretability, raising concerns about trust, accountability, and regulatory compliance. In sensitive domains such as financial frau...
Open access
Research Article10.9734/ajrcos/2026/v19i1819
Oluwadayo Mafolasere Olaniyi, Olubukola Omolara Adebiyi, Cornelia Ifeoma Ejoh, Oluwabukola Oluwaseun Afolabi & Valerie Ojinika Ejiofor·Asian Journal of Research in Computer Science·2026
This study develops and validates a conversational AI–powered fraud prevention framework for real-time transaction security in augmented reality (AR) e-commerce environments. Adopting an explanatory sequential mixed-methods methodology, the research integrates architectural frame...
Open access
Research Article10.9734/ajrcos/2026/v19i1817
Olubukola Omolara Adebiyi, Anuoluwapo Deborah Popoola, Pelumi Damola Adeyinka, Aisha Temitope Arigbabu & Omobolaji Olufunmilayo Olateju·Asian Journal of Research in Computer Science·2026
This study explores how integrating blockchain technology with artificial intelligence can strengthen trust, transparency, and regulatory compliance in cross-border financial transactions. Drawing on open-source international datasets and quantitative analysis, the research shows...
Open access
Research Article10.9734/ajrcos/2026/v19i1818
Background: The growing sophistication, scale, and persistence of cyber threats have exposed the limitations of traditional signature-based security monitoring systems. In response, modern Security Information and Event Management (SIEM) platforms increasingly integrate automatio...
Open access
Research Article10.9734/ajrcos/2026/v19i1816
In Bangladesh, pineapple variety identification is still largely dependent on experience and eye-tracking. As a result, there is a possibility of misclassification in marketing, grading, pricing, and agricultural supply chain management. This study proposes a feature-based machin...
Open access
Research Article10.9734/ajrcos/2026/v19i1815
Accurately identifying fabric types is a complex and important issue in the textile industry, as materials such as cotton, denim, linen, polyester, and silk often have similar characteristics. Traditional manual methods of separating fabrics are time-consuming, expensive, and sus...
Open access
Research Article10.9734/ajrcos/2026/v19i1814