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
The unethical use of generative artificial intelligence (GenAI) models by students has raised growing concerns about academic dishonesty in K–12 education. In response, various policy measures and pedagogical strategies have been proposed, including the use of prompt engineering...
Open access
Research Article10.9734/ajrcos/2026/v19i1812
The rapid advancement of artificial intelligence (AI) has transformed multiple sectors; however, the growing computational complexity of modern AI models has raised serious concerns regarding energy consumption and carbon emissions. Addressing this challenge, this paper proposes...
Open access
Research Article10.9734/ajrcos/2026/v19i1813
Telemedicine requires the provision of medical images over unstable networks in a secure manner. Traditional hybrid cryptographic algorithms e.g. ECC-LSB watermarking provide confidentiality, but are often limited by a large computational cost hence limiting its use to real time....
Open access
Research Article10.9734/ajrcos/2026/v19i1810
Large Language Models (LLMs) are increasingly deployed in multi-agent systems; however, existing frameworks continue to suffer from communication ambiguity, coordination failures, and poor scalability as task complexity increases. This paper introduces COLLAB-LLM, a communication...
Open access
Research Article10.9734/ajrcos/2026/v19i1811
This study was conducted to tackle the problem of mobility and context-aware decision-making to improve the performance and efficiency of the mobile cloud. A Context-Aware Decision framework was implemented on the Android platform to make context-aware decisions. The context data...
Open access
Research Article10.9734/ajrcos/2026/v19i1809
Emonena Patrick Obrik-Uloho, Michael Olayinka Gbadebo, Oluwabukola Oluwaseun Afolabi, Sunday Abayomi Joseph, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2026
This study critically evaluates WhatsApp’s security ecosystem through a shared responsibility framework, examining the interaction between platform safeguards, usability, and user accountability. A mixed-methods approach was employed, integrating four open-access cybersecurity da...
Open access
Research Article10.9734/ajrcos/2026/v19i1807
Dinesh Rajendran, Venkata Deepak Namburi, Vetrivelan Tamilmani, Aniruddha Arjun Singh Singh, Vaibhav Maniar & Rami Reddy Kothamaram·Asian Journal of Research in Computer Science·2026
Hybrid and multi-cloud environments have been more popular due to the meteoric rise of cloud computing. In these setups, businesses utilize a combination of cloud services from various providers to enhance their adaptability, efficiency, and reliability. Despite these advantages,...
Open access
Research Article10.9734/ajrcos/2026/v19i1808
Healthcare Information Systems (HIS) have become essential digital infrastructures for managing clinical, administrative, and public health data in modern healthcare environments. In Sri Lanka’s public healthcare sector, several HIS initiatives—including the Hospital Health Infor...
Open access
Research Article10.9734/ajrcos/2026/v19i1806
Flood events are becoming more frequent and severe with rapid urbanization and climate change. With rising risks, accurate real-time assessments are critical for disaster management and operational decision-making, such as emergency response and resource allocation. Implementing...
Open access
Research Article10.9734/ajrcos/2026/v19i1805