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
Lack of diseases detection in plants frequently results in the spread of diseases that are difficult to treat and expensive. Rapid diseases recognition enables farmers to control the diseases with appropriate treatment.…
Intradialytic hypotension (IDH) is a common complication in patients undergoing maintenance hemodialysis and is associated with an increased risk of cardiovascular and all-cause mortality. Machine learning (ML) and deep…
The high-voltage transmission system is a key component of the power network, and the reliability of its insulators directly affects the safe operation of the system. Traditional insulator defect detection methods are re…
Automatic emotion recognition technology through facial expressions has broad potential, ranging from human-computer interaction to stress detection and blood pressure assessment. Facial expressions exhibit patterns and…
With the popularization of computer technology, the combination of artificial intelligence and image processing technology has become a research hotspot in the visual communication. Image processing technology mostly inv…
Classification of batik images is a challenge in the field of digital image processing, considering the complexity of patterns, colors, and textures of various batik motifs. This study proposes an ensemble method that co…
This scholarly investigation examines the utilization of artificial intelligence (AI) technology in the analysis and resolution of intricate societal challenges in many countries. The originality of this study resides in…
Monitoring and traceability are crucial for ensuring efficient and financially beneficial cattle breeding in contemporary animal husbandry. While most farmers rely mainly on ear tags, the development of computer vision a…
This research focuses on sentiment analysis to understand public opinion on various topics, with an emphasis on COVID-19 discussions on Twitter. By utilizing state-of-the-art Machine Learning (ML) and Natural Language Pr…
The tracking of motion targets occupies a central position in sports video analysis. To further understand athletes' movements, analyze game strategies, and evaluate sports performance, a 3D posture estimation and tracki…
