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
Land use scene classification (LUSC) from remote sensing imagery plays a critical role in environmental monitoring, urban planning, and sustainable resource management. In recent years, deep learning methods have signifi…
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…
Interpreting orthopantomograms (OPGs) accurately and efficiently remains challenging due to overlapping anatomical structures and the subtle presentation of many dental pathologies. While deep learning (DL) has shown con…
Iron ore estimation is a significant part of mineral exploration, as it supports determining both the quantity and quality of available mineral resources. Precise estimation facilitates effective mine planning, productio…
The main challenge in dermoscopy image analysis lies in the lesion segmentation process, which is often affected by variations in color, texture, lighting, and irregular lesion boundaries. The Simple Linear Iterative Clu…
Diabetic retinopathy is one of the major causes of vision loss in the world; thus, the development of early diagnosis systems based on artificial intelligence is a medical and scientific necessity. If detected late, it c…
Worldwide, individuals, businesses, and economies are being affected by counterfeit currency significantly. Numerous models generate content that mimics the original, and existing solutions fall short in detecting the di…
Froth flotation recovery prediction plays an important role in mineral processing because it can improve operational efficiency, reduce mineral loss, and support more effective decision-making during flotation operations…
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…
The complexity and morphological richness of the Arabic language pose significant challenges in natural language processing (NLP), including issues with contextual understanding and feature extraction. Traditional deep l…
