Semantic Web technologies in providing personalized recommendations to learners in digital educational environments. It involves applying advanced methods like Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL query language, and machine learning to un...
Open access
Research Article10.9734/ajrcos/2025/v18i10774
In the fast-paced and ever-evolving landscape of the software industry, delivering high-quality software has become paramount. The shift from traditional software development models to agile methodologies has been driven by the need to accommodate complex software requirements an...
Open access
Research Article10.9734/ajrcos/2025/v18i10773
This systematic review investigates the impact of Generative Artificial Intelligence (GenAI) on supply chain management (SCM). Though there is an acknowledgment of GenAI’s potential in SCM, there remains a lack of research that thoroughly examines the opportunities, tangible adva...
Open access
Research Article10.9734/ajrcos/2025/v18i10771
This study investigates policy responses to strengthening cyber resilience in the face of expanding global threats, using U.S.–China cyber dynamics as a reference case. Four open datasets were employed: Verizon Data Breach Investigations Report (DBIR), CISA Known Exploited Vulner...
Open access
Research Article10.9734/ajrcos/2025/v18i10772
Efficient and predictable sorting is critical for real-time computing applications, including embedded systems, financial trading platforms, and sensor networks. In this paper, a strict comparative analysis of five popular sorting algorithms, namely Heap Sort, Merge Sort, Quick S...
Open access
Research Article10.9734/ajrcos/2025/v18i10770
Investigation of some structral properties of some sequence spaces constructed using Schr¨oder numbers has recently become important. Some of the fundamental works on the investigation of the properties of these sequence spaces are given in (Daglı, 2022a,b) and (Yilmaz et al., 20...
Open access
Research Article10.9734/ajrcos/2025/v18i10769
The rapid expansion of artificial intelligence (AI) and digital health technologies has made data sovereignty a critical policy concern. In Saudi Arabia, Vision 2030 emphasizes technological innovation, economic diversification, and resilient digital infrastructures, positioning...
Open access
Research Article10.9734/ajrcos/2025/v18i10768
Aims: This study examines the role of Artificial Intelligence (AI) in enhancing software security across the Software Development Lifecycle (SDLC). It seeks to highlight how AI-driven tools and techniques strengthen security practices, improve efficiency, and address evolving cy...
Open access
Research Article10.9734/ajrcos/2025/v18i10767
This research seeks to address persistent socioeconomic disparities in Nepal’s education system by integrating explainable artificial intelligence (XAI) with foundational social theories. While enrollment rates have improved, inequities in access, retention, and learning outcomes...
Open access
Research Article10.9734/ajrcos/2025/v18i10764
Precise flower classification is essential in botanical research, agricultural diagnostics, and biodiversity monitoring, as accurate species identification underpins ecological sustainability and informed decision-making. This study rigorously evaluates the utilization of data mi...
Open access
Research Article10.9734/ajrcos/2025/v18i10765
Alimi Olasunkanmi Maruf, Yusuf Israel Timileyin, Oluwaseyi Ezekiel Olorunshola, Adeniyi Usman. Adedayo, Enem A Theophilus & Adamu-Fika Fatimah·Asian Journal of Research in Computer Science·2025
The threats of fraud in savings accounts are increasingly escalating in recent years due to the rise of digital banking, prompting the need for advanced security measures. This research addresses this challenge by developing a hybrid fraud detection system which combines rule-bas...
Open access
Research Article10.9734/ajrcos/2025/v18i10766
John Kamwele Mutinda, Tecla Mutave Kyalo, Joyce Akhalakwa Mukolwe, Jackson Ndoto Munyao, Millicent Auma Omondi, Wycliffe Nzoli Nzomo, Titus Mutua Kioko, David Chepkonga, Samuel Kipsang Kaptum, Erick Munala Sifuna & Amos Kipkorir Langat·Asian Journal of Research in Computer Science·2025
Breast cancer diagnosis is critical for improving patient outcomes, yet traditional methods face limitations such as invasiveness and human error. This study presents an explainable AI framework for breast cancer classification using six ML models: LR, NB, KNN, RF, SVC, and DT. S...
Open access
Research Article10.9734/ajrcos/2025/v18i10762
The skin is the outermost layer of the body and is crucial for women's beauty and health. Understanding one's skin type is essential for effective skincare, as a lack of knowledge can lead to adverse effects. This study proposes a deep learning-based system designed to identify w...
Open access
Research Article10.9734/ajrcos/2025/v18i10763
Artificial intelligence (AI) is essential in supply chain and inventory management due to the increasing complexity, volatility, and unpredictability of these processes. Demand variations, seasonality, and nonlinear dependencies are frequently missed by conventional statistics a...
Open access
Research Article10.9734/ajrcos/2025/v18i10761
Artificial Intelligence (AI) is simultaneously a transformative enabler and a regulatory challenge in the fast-evolving domain of cybersecurity. Artificial intelligence is gradually taking over human labour and decision-making. Numerous industries, including manufacturing, transp...
Open access
Research Article10.9734/ajrcos/2025/v18i10760