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 Article10.9734/ajrcos/2026/v19i7879
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 Article10.9734/ajrcos/2026/v19i7878
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 Article10.9734/ajrcos/2026/v19i7877
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 Article10.9734/ajrcos/2026/v19i6876
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 Article10.9734/ajrcos/2026/v19i6875
This study examines the relationship between artificial intelligence (AI) readiness, information governance maturity, and autonomous workflow optimisation in public-sector and public-serving institutions. As governments increasingly adopt AI and intelligent automation for service...
Open access
Research Article10.9734/ajrcos/2026/v19i6873
This study developed and evaluated a machine learning-driven personalised learning pathway recommendation system to support transferable skill development and academic performance among undergraduate students. The study used secondary data from the Open University Learning Analyt...
Open access
Research Article10.9734/ajrcos/2026/v19i6874
Aims: The study aimed to develop an enhanced cybersecurity awareness framework tailored specifically for Small and Medium-sized Enterprises (SMEs) in Nigeria, addressing their limited resources and unique challenges. Study Design: A framework development study using secondary dat...
Open access
Research Article10.9734/ajrcos/2026/v19i6872
Awodele Oludele, Noze-Otote Aisosa, Agu Ekeoma Emmanuel, Sunday Bridget Nneamaka, Afelumo Ifeoluwa, Peter Iyogun, Arowojobe Yemi Adisa, Ogunwumi Oluyemi Samuel, Benard Adepoju Victor, Oyinloye Adebayo, Adewoye Adekunle Samuel, Abigail Ogunlolu, Ajaegbu Ikechukwu Udo, Ogunlolu Gabriel & Sowemimo Oluwakemi·Asian Journal of Research in Computer Science·2026
Machine learning research has traditionally emphasised algorithmic innovation as the main driver of performance improvement, with advances in model architecture, optimisation, and hyperparameter tuning shaping progress in computer vision, natural language processing, healthcare,...
Open access
Research Article10.9734/ajrcos/2026/v19i6871
Pipeline leak detection remains a critical challenge in oil and gas transportation systems because undetected leaks may create environmental, economic, and safety risks. Conventional monitoring approaches often have limited scalability, delayed response, high communication overhe...
Open access
Research Article10.9734/ajrcos/2026/v19i6870
Diabetes is a major global health challenge, making early and accurate prediction essential for improving patient outcomes and reducing healthcare burdens. This study presents an integrated framework for diabetes risk prediction using the Pima Indians Diabetes Dataset. The novelt...
Open access
Research Article10.9734/ajrcos/2026/v19i6869
School psychologist shortages remain a critical challenge in high-need districts, where ratios often exceed 1:1,200, limiting timely mental health support for students. This desk-based study developed hybrid AI and telepsychology workforce models to address these shortages. A sys...
Open access
Research Article10.9734/ajrcos/2026/v19i6868
Cyberattacks have been steadily increasing for the past twenty years. DDoS attacks, in particular, represent one of the greatest threats to organizations. A DDoS attack aims to render an information system's resources unavailable by overwhelming them with numerous requests origin...
Open access
Research Article10.9734/ajrcos/2026/v19i6867
Busola Motunrayo Olawale, Utin Nyimeobong Archibong, Nanyeneke Ravana Mayeke, Abiola Omolola Bamsa & Omobolaji Olufunmilayo Olateju·Asian Journal of Research in Computer Science·2026
This research developed and evaluated hybrid privacy-enhancing technologies (PETs) for secure sharing of land use and land cover (LULC) data across collaborative research institutions and open data ecosystems. The work was motivated by privacy risks, including re-identification v...
Open access
Research Article10.9734/ajrcos/2026/v19i5866
Pascaline Kizodisa Mbilankazi, Camile Likotelo Binene, Mukoko Matondo Pamela, Télesphore Nsumbu Lukamba, Francis Mayala Lemba, Richard Kitondua Lubanzadio & Ruffin Ngoie Mpoy·Asian Journal of Research in Computer Science·2026
In a global context characterized by increasingly complex supply chains, growing competitive pressure on distribution costs, and the need to strengthen logistics robustness in both private and public sectors, transport optimization has become a major challenge. This research aims...
Open access
Research Article10.9734/ajrcos/2026/v19i5865