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
Accurate and intelligent detection of rice pests is critical for ensuring food security and advancing precision agriculture. However, due to the small size, irregular morphology, dense distribution, and complex backgroun…
This study proposes a data-driven excimer LiDAR framework for joint surface reflectivity mapping and atmospheric pollutant profiling, integrating physics-based sensing with deep learning-based multi-source data fusion. T…
Cervical cancer is the fourth most common cancer among women worldwide and remains a major public health challenge, particularly in regions with limited access to early screening and diagnosis. Accurate classification of…
Soiling is one of the major factors that can affect the performance of PV installations in many regions of the world. On the other hand, the variety of PV models, types of soiling, and climate conditions makes it very di…
This study proposes a deep learning-enhanced excimer laser LiDAR framework for high-resolution Earth surface monitoring through the integration of multi-platform data sources, including UAV measurements, satellite imager…
Automotive seat cover assembly entails the manual collection of plastic J-shaped clips from boxes located at a non-ergonomic distance from the sewing stations. Operators are compelled to inadvertently pick up multiple co…
Early detection of skin pathology is critical for patient survival and treatment effectiveness, particularly in the case of aggressive malignancies such as melanoma. In this study, we propose a lightweight and explainabl…
Road infrastructure monitoring plays a crucial role in ensuring safety and economic efficiency; however, conventional manual inspection methods are expensive and resource-intensive. This study presents the development an…
The proper identification of latent market states is important for effective risk management. However, existing frameworks are often not good at distinguishing the difference between stable situations and systemic crashe…
Effective marketing plays a pivotal role in modern businesses, where strategic allocation of resources is essential for maximizing return on investment (ROI). Customer segmentation involves dividing users into distinct s…
