The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on machine learning — spanning algorithms, applications, and techniques across computer science domains. One of the journal's largest and most active research areas.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
This study presents a state-of-the-art review of Artificial Intelligence and Machine Learning applications in motorsport, with a particular focus on Formula 1. As modern racing generates increasingly large volumes of hig…
Using modern analytical tools, such as machine learning, organisations can collect and analyse large amounts of data related to suppliers, pricing, demand structure, and market trends. This study uses machine learning mo…
The Arabic Sign Language Recognition Research aims to develop a real-time system that accurately recognizes Arabic Sign Language (ArSL) gestures and translates them into both text and speech. This Research leverages the…
Predicting student academic performance constitutes a strategic priority for higher education institutions seeking to reduce attainment gaps and provide timely, targeted support. Existing approaches predominantly generat…
For efficient agricultural planning, resource management, and enhancing farmer livelihoods in significant tea-producing regions, tea production prediction is essential. However, climate variability—including temperature,…
The study analyses Turkish and English tweets about climate change on the social media platform Twitter and comparatively examines individuals” perceptions, concerns, and emotional reactions to this issue. A total of 2,0…
The rise of e-commerce and digital offerings has generated a need for ultra-adaptable pricing policies seeking to maximize revenue while optimizing competitive advantage. Traditional fixed pricing schemes are inherently…
Dynamic resource provisioning is a critical challenge in cloud computing, offering the necessary elasticity to guarantee reliable services within a usage-based payment framework. With the evolution of distributed systems…
Brain image registration is fundamental for medical imaging to allow the matching of images from multiple modalities, temporal sequences, and people to offer spatial correlation. This is crucial for activities such as co…
Rainfall prediction is still a difficult challenge because rainfall is nonlinear, intermittent, and highly variable, especially in semi-arid climates. Accurate rainfall prediction is crucial for water resource management…
