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
The identification of COVID-19 using chest X-ray (CXR) images plays a critical role in managing the pandemic by providing a rapid, non-invasive, and accessible diagnostic tool. This study evaluates the impact of differen…
The general LSTM-based encoder-decoder model has the problems of not being able to mine the sentence semantics and translate long text sequences. This study presents a neural machine translation model utilizing LSTM with…
Deep learning techniques are becoming increasingly important in the field of facial expression recognition, especially for automatically extracting complex features and capturing spatial layers in images. However, previo…
To address the low detection efficiency and high computational resource demands of current welded pipe defect detection algo-rithms for small target defects, this paper proposes the YO-LO-WP algorithm based on YOLOv5s. T…
In smart cities, the e-healthcare systems aided by Internet of Things (IoT) technologies play a significant role in proficient health monitoring services. The sensitivity and number of users in health networks highlights…
An advanced system for facial landmark detection and 3D facial animation rigging is proposed, utilizing deep learning algorithms to accurately detect key facial points, such as the eyes, mouth, and eyebrows. These landma…
Palembang Songket is an essential part of Indonesian cultural heritage, and its introduction and preservation present challenges, particularly in recognizing various motifs. This research introduces a novel strategy to o…
This study proposes the implementation of a facial emotion recognition system based on Convolutional Neural Networks to detect emotions in real time, aiming to optimize the workplace environment and enhance organizationa…
Intelligent Transportation Systems (ITS) are crucial for managing urban mobility and addressing traffic congestion, which poses significant challenges to modern cities. Traffic congestion leads to increased travel times,…
Timely detection and diagnosis of coronary artery segment plaque and stenosis in X-ray angiography is of great significance, however, the image quality variation, noise, and artifacts in the original image cause definiti…
