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
Early detection of corporate bankruptcy is essential for maintaining financial market stability and reducing systemic risk. However, existing predictive models often struggle under conditions of extreme class imbalance.…
Understanding user trust in mobile financial applications is crucial as these platforms increasingly shape how users in Saudi Arabia manage finances and engage with digital banking. However, existing deep learning–based…
Graph convolutional networks are widely used in air quality forecasting, yet their benefit over simpler approaches remains insufficiently validated. This study presents a fully reproducible benchmark comparing five model…
The protection of medical images in healthcare services has become important due to the adoption of telemedicine and cloud-based healthcare services. Conventional watermarking methods embed information directly into the…
As mental health disorders such as stress, anxiety, depression, and post-traumatic stress disorder (PTSD) affect a substantial part of the world population, current diagnostic methodologies are still centralized, subject…
Stroke is a leading cause of mortality and long-term disability, making rapid and reliable detection from non-contrast computed tomography (CT) scans essential for timely clinical intervention. This study introduces Neur…
Accurate classification of heart sounds is critical for the early detection and diagnosis of cardiovascular diseases. This research presents an automated technique for classifying heart sounds into normal, murmur, and ex…
Upon arrival at a hospital, patients require an initial assessment to determine the urgency of their condition and the appropriate medical specialty for their needs. This manual triage process, however, is often time-con…
Automated Video Anomaly Detection (VAD) plays a vital role in developing surveillance systems in public spots. Our study develops real-time anomaly detection via a hybrid Convolutional Neural Network–Long Short-Term Memo…
The study analyses Turkish and English tweets about climate change on the social media platform Twitter and comparatively examines individuals” perceptions, concerns, and emotional reactions to this issue. A total of 2,0…
