The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on artificial intelligence — from AI-driven business decision-making and disaster risk management to systematic literature reviews of AI adoption across industries.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Artificial Intelligence (AI) has emerged as a trans-formative technology in the domain of Disaster Risk Management (DRM), offering new possibilities for forecasting, preparedness, and rapid response in the face of increa…
Recent years have seen a dramatic increase in the number of and severity of natural disasters, driven in part by climate change and urbanization. Artificial Intelligence (AI) appears to be a promising new technology that…
Solid waste management has become a global challenge today due to its constant increase in waste and inadequate classification, which leads to serious environmental problems. The research objective is to develop a system…
The advent of 6G technology promises to revolutionize the landscape of connectivity, ushering in an era of unprecedented speed, reliability, and integration of emerging technologies. This comprehensive review delves into…
Generative Artificial Intelligence (GAI) has rapidly emerged as a transformative technology capable of autonomously creating human-like content across domains such as text, images, code, and media. While GAI offers signi…
Safety and security are essential to social stability since their absence disrupts economic, social, and political structures and weakens basic human needs. A secure environment promotes development, social cohesion, and…
Malaria persists as a serious global public health threat, particularly in resource-limited regions where timely and accurate diagnosis is a challenge due to poor medical infrastructure. This study presents a comparative…
About 85% of all occurrences of lung cancer are classified as Non-Small Cell Lung Cancer (NSCLC), making it a serious worldwide health concern. For better treatment results and patient survival, NSCLC must be detected ea…
This study explores an expression synthesis algorithm anchored in Generative Adversarial Networks (GAN) with attention mechanisms, achieving enhanced authenticity in facial expression generation. Evaluated on the MUG and…
Deep learning-based predictive maintenance is a key strategy in industry to prevent unexpected failures, reduce downtime, and improve operational safety. This study presents an advanced approach for early fault detection…
