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
Support Vector Machines (SVMs) remain competitive in text classification, sometimes achieving comparable performance with the deep learning approach, due to their strong generalization ability and robustness to overfitti…
The integration of IoT technologies with smart logistics operations has opened unprecedented avenues for optimizing energy consumption in warehouse facilities. Accurate forecasting of electricity load is a key factor in…
Fine-Grained Image Classification focuses on unique features between visually similar subclasses within a wider category, which remains a challenging task due to low inter-class variations and high intra-class similarity…
Breast ultrasound images can be classified as benign, malignant, and normal. Due to the imbalanced distribution of classes in breast ultrasound images, intra-class heterogeneity of lesions, and ultrasound artifacts like…
Breast cancer is the most frequently diagnosed cancer in women worldwide, with approximately 2.3 million new cases annually. Accurate molecular subtyping is essential for guiding treatment decisions; however, existing PA…
In this study, researchers propose a novel solution for efficient enhancement of vulnerability detection in several IoT environments. Efficient Vulnerability Classification has been introduced as the presented technique…
Accurate and real-time assessment of road infrastructure is critical for smart city maintenance and transportation safety. However, conventional object detection models often struggle with complex environmental factors,…
Recommender systems are widely used as an information filtering technology to automatically predict and identify a set of interesting items for users based on their needs and preferences. They are widely applied in many…
Intelligent transportation systems aim to improve traffic management and road safety, manage traffic effectively, and reduce roadway system congestion. This optimally requires estimating future traffic congestion. Unfort…
With the fast enhancement of deep learning, research on automatic detection of breast tumors is becoming increasingly in-depth. However, traditional CNNs’ linear kernel has difficulty not only in capturing the nonlinear…
