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
Digital financial ecosystems face mounting exposure to fraudulent transactions that collectively account for trillions of dollars in losses each year. Existing approaches suffer from three recurring deficiencies: they re…
Ordinal survey indicators are common in behavioral and social science research. Still, they violate continuous normal assumptions when category spacing is unequal, response distributions are skewed, or categories are spa…
Increased traffic in the Internet of Things (IoT) network results in a large amount of network data that should be processed efficiently in order to manage IoT network resources properly. Hence, bandwidth management and…
This study presents a machine learning framework for predicting smartphone engagement intensity using behavioral smartphone usage data. The study utilized the Smartphone Usage and Addiction Analysis dataset containing 7,…
Automated epileptic seizure detection from electroencephalogram (EEG) recordings remains a challenging biomedical signal analysis task because of the nonlinear, non-stationary, and high-dimensional characteristics of neu…
Heart disease remains one of the leading causes of mortality worldwide, motivating the development of accurate and scalable screening-support tools. This study presents an integrated framework for heart-disease status cl…
Estimating crowd size in dense environments re-mains a complex problem, yet it holds critical value for safety monitoring, city infrastructure design, and large-scale gathering coordination. Leveraging contemporary devel…
This study introduces a privacy-preserving data preparation and feature engineering framework designed for machine learning-based cybersecurity vulnerability risk prediction, utilizing real-world enterprise scan data fro…
Modeling realistic tree structures remains a challenging problem in computer graphics due to the complex interaction between intrinsic growth patterns and environmental influences. Traditional procedural methods provide…
Container migration is one of the important techniques used to provide the continuity of services in Multi-access Edge Computing environments. Services are migrated from edge servers to follow the mobility of users among…
