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
During digital transformation, manufacturing enterprises encounter challenges such as the high cost of smart devices, operational interruptions, and increased technology expenses, raising their financial risks. Addressin…
Traffic accidents have significant societal impacts due to the substantial human and material losses they cause. Recently, numerous AI-based traffic surveillance technologies, such as Saher, have been implemented to impr…
Forecasting food loss with high accuracy is crucial for improving global food security, optimising supply chains, and supporting sustainability goals. However, conventional time series models and standard deep learning t…
Sign Language Recognition (SLR) has been an active area of research, but sentence-level SLR remains relatively underexplored. While most studies focus on recognizing individual signs, understanding full sentences present…
The classification of cough sounds for smoker detection represents a challenging task in audio processing that compares different data representation methods. This study presents a performance analysis of two prominent d…
Breast cancer remains a major global health concern and is among the leading causes of cancer-related deaths in women. Timely and precise diagnosis significantly improves treatment outcomes and patient survival rates. Th…
The Strategic decision support creates a strong and smart decision support system for financial management through the correct forecast of stock prices with deep learning. Statistical models and shallow machine learning…
In an era marked by technological advancements aimed at establishing smart cities, technology increasingly focuses on enhancing aspects related to crowd management. The widespread deployment of CCTV systems, combined wit…
Sentiment analysis is a fundamental task in natural language processing with wide-ranging applications, from customer feedback monitoring to healthcare and social media analytics. While recent research has mainly emphasi…
Sentiment classification is a core task in natural language processing (NLP), enabling automated interpretation of opinionated text across domains, such as social media, e-commerce, and healthcare. While numerous models…
