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
Breast cancer remains one of the most prevalent and life-threatening diseases worldwide, needing to be diagnosed early and properly classified for effective treatment. Advancements in artificial intelligence (AI), deep l…
This study proposes an intrusion-prediction framework for e-Health information systems that combines structured web-log analysis, supervised machine learning, and Apache Spark-based distributed processing. A corpus of 1,…
The prediction of solar irradiance plays a crucial role in the design, performance, and stability of renewable energy sources, and especially photovoltaic (PV) power generation. Accurate forecasting helps in managing ene…
The growing adoption of software-defined and electrified vehicle architectures has significantly increased the computational burden on electronic control units, leading to dynamic and non-stationary load conditions that…
Early detection of cyberattacks remains a major challenge in enterprise networks due to encrypted traffic, protocol diversity, and highly dynamic service behavior. This study evaluates a machine learning-based intrusion…
Accurate gait phase detection is essential for biomechanical analysis and the control of wearable assistive devices such as powered prostheses and exoskeletons. Electromyography (EMG) provides a direct representation of…
The telecommunications sector has evolved in recent years, resulting in intense competition and high customer acquisition costs. As a result, retaining customers has become a key concern for telecom operators. In this wo…
The rapid expansion of internet services and cloud-based platforms has increased cybersecurity threats, particularly phishing attacks that deceive users into disclosing sensitive information. Traditional phishing detecti…
Recent advances in 3D mesh acquisition and the development of interactive modeling tools have significantly increased both the quantity and diversity of available 3D model databases. Therefore, the task of searching, que…
Epileptic seizure recognition is a critical task in clinical decision support systems, where both accuracy and reliability of predictions directly affect patient outcomes. While deep learning architectures such as CNNs a…
