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
Climate change and environmental variability increasingly affect human health, particularly in agroecosystems exposed to fluctuating air quality and climatic conditions. Al-though recent advances in artificial intelligen…
The growing amount of heterogeneous devices with scarce resources is compromising the security of the Internet of Things (IoT), as they are more likely to adapt to a fixed and identity-based access control. Conventional…
The oil and gas industry continuously evolves to enhance operational efficiency and productivity while minimizing costs and environmental impact. Among the critical aspects of oil and gas operations, drilling efficiency…
Cirrhosis is considered one of the most serious liver diseases worldwide, closely related to excessive alcohol consumption and inadequate eating habits, factors that progressively deteriorate people’s health. In this con…
Phishing attacks continue to pose a significant threat to individuals and organizations, driven by the increasing sophistication of cybercriminal techniques and the rapid expansion of digital services. Traditional detect…
Machine learning (ML) offers various tools, frame-works and platforms for resolving complex problems in compu-tational science and engineering. Machine learning frameworks have emerged as the cornerstone of modern resear…
The rapid growth of online learning platforms has generated large volumes of student interaction data that may support learning analytics and early academic intervention. This study proposed an intelligent learning analy…
This research provides a comprehensive synthesis of Multimodal Machine Learning (MML) as a transformative paradigm for IoT defense. By integrating heterogeneous data streams, including network flow statistics, device-lev…
Effort estimations, including budgets, hiring people, and project timelines, in the Agile methodology, are determined by tools like COCOMO and Function-Point analysis. This study presents a framework driven by artificial…
Accurate and early prediction of student success in online mathematics education is critical for improving learning processes and developing personalized instruction strategies. However, students' problem-solving behavio…
