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
Machine learning techniques in smart agriculture for yield prediction involve using algorithms to analyze historical and real-time data to forecast crop yields. These approaches aim to optimize agricultural practices, im…
From an evolutionary perspective, sexual dimorphism has been linked to perceived attractiveness, with masculine traits preferred in men and feminine traits in women. Moreover, symmetry is a strong predictor of facial att…
This paper presents three significant contributions to the field of privacy-preserving Content-Based Image Retrieval (CBIR) systems for medical imaging. First, we introduce a novel framework that integrates VGG-16 Convol…
Traffic light and road sign violations significantly contribute to traffic accidents, particularly at intersections in high-density urban areas. To address these challenges, this research focuses on enhancing the accurac…
Early and accurate detection of skin cancer is critical for effective treatment. This research aims to enhance skin cancer multi-class classification using transfer learning and Vision Transformers (ViTs), addressing the…
This study presents an innovative deep learning approach for accurate fish species detection and classification in underwater environments. We introduce FishNet, a novel convolutional neural network architecture that com…
The voluminous number of vehicles present on principal roads together with ongoing road expansion projects are triggering serious roadblocks during peak hours in many places in Mauritius. Consequently, an innovative solu…
Diabetic retinopathy (DR) is a leading cause of vision impairment and blindness, necessitating accurate and early detection to prevent severe outcomes. This paper discusses the utility of ensemble learning methodologies…
Breast ultrasound (BUS) imaging is widely utilized for detecting breast cancer, one of the most life-threatening cancers affecting women. Computer-aided diagnosis (CAD) systems can assist radiologists in diagnosing breas…
Skin cancer is one of the most prevalent types of cancer worldwide, and its early detection is crucial for improving patient outcomes. Artificial Intelligence (AI) has shown significant promise in assisting dermatologist…
