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
Laboratory Information Management Systems (LIMS) represent a cornerstone of modern laboratory informatics, enabling systematic tracking, management, and integrity assurance of experimental data. Civil engineering laboratories, with their diverse portfolio of material, geotechnica...
Open access
Research Article10.9734/ajrcos/2026/v19i4855
Considering optical Braille patterns has been investigated in several studies. There is a huge number of studies which analyzed Braille patterns in different natural languages. However, the Arabic patterns have not been examined as same as the other languages. This is due to the...
Open access
Research Article10.9734/ajrcos/2026/v19i4853
This study presents a hybrid federated learning and explainable artificial intelligence framework, termed RobustFL, designed to mitigate adversarial attacks in medical imaging while incorporating privacy-preserving mechanisms. Focusing on chest X-ray analysis, the research system...
Open access
Research Article10.9734/ajrcos/2026/v19i4852
Aims/Objectives: Traditional anime recommendation systems frequently rely on viewing history, user ratings, and genre-based filtering, all of which often fail to capture the complex emotional immersion inherent in the medium. Given that emotional resonance is a primary driver of...
Open access
Research Article10.9734/ajrcos/2026/v19i4851
This paper examines the evolving role of artificial intelligence (AI) in the digital transformation of the Greek educational system, focusing on the management of digital transformation and providing a comprehensive narrative review of developments across all levels of education....
Open access
Research Article10.9734/ajrcos/2026/v19i4850
Manual microscopic examination of thick blood smears remains the gold standard for malaria diagnosis in resource-limited settings, yet it is labor-intensive, slow, and significantly prone to human error. This study addresses these diagnostic bottlenecks by leveraging the recently...
Open access
Research Article10.9734/ajrcos/2026/v19i4848
Viviane Kaseka Katadi, Gilbert Ngoyi Maloba, Jean-Marie Ibanga Mbayo, Pélagie Mpembe Mukonkole, Clarisse Ngoyi Tshite, Mardochée Kalala Mpolesha & Pierre Kafunda Katalay·Asian Journal of Research in Computer Science·2026
The rapid spread of disinformation on social media poses a major challenge in the digital age, with significant impacts on public opinion and decision-making. In this context, this study proposes a machine learning-based approach for the automatic detection of online disinformati...
Open access
Research Article10.9734/ajrcos/2026/v19i4849
This study presents a systematic literature review (SLR) examining the interplay between artificial intelligence (AI) integration, teachers’ digital competence, and transformational leadership and management in educational contexts. A total of 45 peer-reviewed studies (2015–2025)...
Open access
Research Article10.9734/ajrcos/2026/v19i4847