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
The use of machine learning in recruitment has raised growing concerns about fairness, as automated hiring systems can generate unequal outcomes across demographic groups. These disparities are influenced not only by imb…
Iterative Magnitude Pruning (IMP) is a widely used technique for compressing neural networks by progressively removing low-magnitude weights while maintaining predictive accuracy. Despite its widespread application and s…
The performance of machine learning (ML) systems often deteriorates over time owing to data drift, which is typically caused by changes in data quality or distribution. Such degradation in deployment environments can res…
Career transition into digital professions is a strategic lever for addressing youth unemployment in Sub-Saharan Africa. However, existing training programs lack objective career guidance tools. This study presents two c…
Stress is a psychological and physiological response to internal or external pressures or challenges that exceed an individual's ability to cope. In response to these conditions, the human body produces physiological sig…
Malware detection is a major difficulty in cybersecurity as malicious software continues to evolve in scale, diversity, and sophistication. While deep learning and highly complex architectures are becoming increasingly i…
This study compared the performance of Decision Tree, Random Forest, and Logistic Regression models in predicting business readiness for digital technology integration using survey data from 400 business respondents in P…
The fast development of deepfake technologies has caused growing concerns related to the authentication of digital media, the integrity of personal identification, and the spreading of disinformation. Therefore, there is…
The rapid growth of Telegram-based communication has increased the dissemination of harmful and risky content, particularly in low-resource languages such as Uzbek. This study investigates the automatic classification of…
Malaria remains a major public health issue in Ivory Coast, where the need for accurate and interpretable predictive models is critical for effective disease control. While most existing approaches prioritize predictive…
