The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on deep learning — covering neural network architectures such as CNNs, RNNs, and transformers, and their applications across computer science domains.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Human resource management is a key factor in organizational success. Understanding and predicting employee attrition is important for improving workforce planning and decision-making. In this study, we propose a Hierarch…
Anemia is a major health concern among pregnant women in rural areas. Early detection and timely treatment are necessary to reduce maternal and infant mortality. Many non-invasive techniques have been proposed to solve t…
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…
Robust inspection of aeroengine turbine blades remains a critical challenge in safety-critical industrial environments, where limited data availability, class imbalance, optimisation bias, and imaging degradation can red…
Pneumoconiosis remains a major occupational lung disease among workers exposed to silica, coal, and other in-organic dusts. Although chest X-ray screening is widely used in clinical practice, diagnostic performance is of…
Passenger reviews and feedback provide valuable operational insights for the aviation industry. However, existing sentiment analysis approaches rarely capture safety-related signals such as aggressive or violent language…
Stress recognition based on EEG data can be useful for healthcare, workplace safety, and mental health monitoring, among other applications. However, most studies do not consider how sensitive EEG data can reveal users’…
The increasing emphasis on digital protection and creative transformation of intangible cultural heritage highlights the urgent need to apply artificial intelligence to accurately identify and brand rich cultural heritag…
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…
Software bugs remain one of the most costly chal-lenge in software engineering, consuming significant development time and resources. Recent advances in Artificial Intelligence (AI), particularly deep learning and large…
