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
The rise of e-commerce and digital offerings has generated a need for ultra-adaptable pricing policies seeking to maximize revenue while optimizing competitive advantage. Traditional fixed pricing schemes are inherently…
Dynamic resource provisioning is a critical challenge in cloud computing, offering the necessary elasticity to guarantee reliable services within a usage-based payment framework. With the evolution of distributed systems…
Brain image registration is fundamental for medical imaging to allow the matching of images from multiple modalities, temporal sequences, and people to offer spatial correlation. This is crucial for activities such as co…
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…
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…
Financial market prediction can be said to be a great challenge because of the intrinsic fluctuation, non-stationarity and multi-faceted influence of the economic indicators, world events, as well as the voter sentiment.…
The acceleration of multi-centric medical AI studies hinges on the ability to share imaging data without exposing burnt-in Protected Health Information (PHI). Manual redaction remains the dominant practice, but it erases…
Early warning systems (EWS) for firm-level financial distress are essential for identifying potential bankruptcies or insolvencies before their realization. While traditional statistical models such as Z-score and logist…
The blistering development of digital image sharing raises privacy concerns, especially in cultural contexts where image exposure could be ethically and socially provocative. In Islamic societies, sharing images of women…
Anomaly detection in X-ray cargo imagery is challenging due to complex scene structures, object overlap, and limited labeled abnormal data. Reconstruction-based methods address this problem by learning normal cargo patte…
