The rapid growth of e-commerce has transformed the retail sector, compelling businesses to adopt digital technologies that enhance customer satisfaction and operational efficiency. Among these technologies, chatbots have emerged as strategic tools for improving customer service,...
Open access
Research Article10.9734/ajrcos/2026/v19i5864
Background: Generative AI is increasingly transforming programming education by enhancing learning support and efficiency while also raising challenges related to academic integrity, critical thinking, and pedagogical adaptation. Aims: The aim of this study is to analyze the oppo...
Open access
Research Article10.9734/ajrcos/2026/v19i5863
Laboratory Information Management Systems (LIMS) play a critical role in ensuring traceability, accuracy, and regulatory compliance in modern testing laboratories, particularly under ISO/IEC 17025 and NABL accreditation requirements. This paper presents the design, implementation...
Open access
Research Article10.9734/ajrcos/2026/v19i5862
Bruce Mbombi Bakondolo, Télesphore Nsumbu Lukamba, Christophe Ebaka Bongelo, Jean Cibamba Kanyinda, Blaise Kapalala Kapenda, Pierre Kamuina Kambayi, Gédéon Mbala Mbuyamba & Richard Kitondua Lubanzadio·Asian Journal of Research in Computer Science·2026
Recommendation systems play a crucial role in e-commerce, but their performance is often degraded by noisy data such as accidental clicks, erroneous implicit interactions, and ambiguous user behavior. This study compares the robustness of three recommendation approaches: collabor...
Open access
Research Article10.9734/ajrcos/2026/v19i5860
Information retrieval systems often struggle to retrieve relevant documents due to term mismatch and the limitations of short user queries. Query Expansion (QE) has been extensively employed to address these challenges by augmenting the original query with additional terms. In th...
Open access
Research Article10.9734/ajrcos/2026/v19i5861
Homomorphic encryption (HE) is gradually gaining popularity. It ensures computation on encrypted data without compromising confidentiality. Despite its potential, the implementation of HE faces challenges. Notably among them is the lack of uniformity and standardization. The purp...
Open access
Research Article10.9734/ajrcos/2026/v19i5857
Predicting the environmental toxicity of novel chemical compounds is a critical challenge for public health and ecological safety, hindered by the structural complexity of molecules and the severe class imbalance inherent in toxicological datasets. Conventional graph neural netwo...
Open access
Research Article10.9734/ajrcos/2026/v19i5858
Abayomi Titilola Olutimehin, Oluwadayo Mafolasere Olaniyi, Adegbenga Ismaila Alao, Oluwaseun Oladeji Olaniyi & Ololade Zainab Adesokan·Asian Journal of Research in Computer Science·2026
Agentic AI has strong potential to boost productivity and growth, but current evidence suggests it is more likely reinforcing existing core–periphery inequalities than fundamentally reshaping the global economic order, due to uneven access, capabilities, and institutional readine...
Open access
Research Article10.9734/ajrcos/2026/v19i5859
To analyze architectural and algorithmic approaches for optimizing Merkle tree operations in a high-performance blockchain virtual machine and to assess their role in achieving high transaction throughput. This study was designed as a structural–functional and comparative analyti...
Open access
Research Article10.9734/ajrcos/2026/v19i4856
Marwa Al-Hadi, Hiba ALMarwi, Abdulrahman Alsabri, Idrees Hajar, Ahmed Al-Kataby, Hussam Al-Maswari, Ali Almansor, Ashraf Alshujaa, Ibrahim Al-Zubaidi, Osama Dammag, Ahmed Alghawri & Abdullah Amer·Asian Journal of Research in Computer Science·2026
Background: Accurately predicting video game sales remains a challenging task due to the complex interaction of multiple factors, including game genre, platform, publisher reputation, release timing, and market competition. Traditional forecasting approaches often rely on histori...
Open access
Research Article10.9734/ajrcos/2026/v19i4854