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
Advanced threat detection systems are needed more than ever as cyber-attacks become more advanced. A novel cybersecurity model uses Bipolar Fuzzy Rough Sets, Graph Neural Networks, and dense network (BFRGD-Net) architect…
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of t…
In Malaysia, approximately 70%-80% of recyclable materials end up in landfills due to low participation in Separation at Source Initiative. This is largely attributed to the public perception that waste segregation is a…
Human contact with one another through social networks, blogs, forums, and online news portals and communication has dramatically increased in recent years. People use these platforms to express their feelings, but somet…
Air conditioning has become indispensable for maintaining human comfort, especially during hot weather, as people rely on it to stay cool indoors. However, the long-term and uncontrolled use of air conditioners has signi…
Badminton, as a popular sport in the field of sports, has rich information on body motions and motion trajectories. Accurately identifying the swinging motions during badminton is of great significance for badminton educ…
This research paper explores the development and efficacy of a hybrid deep learning architecture for cyberbullying detection on social media platforms, integrating Convolutional Neural Networks (CNNs) and Long Short-Term…
This study presents a novel approach for non-contact extraction of physiological parameters, such as heart rate and respiratory rate, from facial images captured using RGB cameras, leveraging recent advancements in deep…
With the continuous development of digital technology, traditional lung computed tomography medical image processing has problems such as complex images, small sample data, and similar symptoms between diseases. How to e…
The study of domestic waste image classification holds significant significance for fields like environmental protection and smart city development. To improve the classification efficiency of household waste information…
