The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on computer vision — including object detection, image classification, face recognition, and image segmentation techniques and applications.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
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…
Self-supervised learning (SSL) has become a powerful paradigm for visual representation learning, yet it remains insufficiently understood how different training strategies shape the balance between global semantic struc…
Estimating crowd size in dense environments re-mains a complex problem, yet it holds critical value for safety monitoring, city infrastructure design, and large-scale gathering coordination. Leveraging contemporary devel…
Robust inspection of aeroengine turbine blades remains a critical challenge in safety-critical industrial environments, where limited data availability, class imbalance, optimisation bias, and imaging degradation can red…
Deep neural network (DNN)-based object detec-tors are widely used for analyzing aerial and satellite imagery in applications such as environmental monitoring and urban analytics. Despite their strong performance, these m…
Fire is a major hazard in many disasters, creating risks to public safety and the surrounding environment. This study aims to improve the accuracy and reliability of fire detection using deep learning, addressing the key…
The diagnosis of plant diseases in Capsicum species remains a critical challenge in precision agriculture due to variability in environmental conditions and limited availability of high-quality datasets. The traditional…
Pupillary distance (PD) is an important ocular measurement for optical dispensing and vision-related applications, but standard MediaPipe FaceMesh outputs do not provide true pupil-centre or iris-boundary landmarks when…
The fast development of deepfake technologies has caused growing concerns related to the authentication of digital media, the integrity of personal identification, and the spreading of disinformation. Therefore, there is…
Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide, where early and accurate diagnosis plays a vital role in improving survival rates. Recent advancements in deep learning h…
