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
This study focuses on the key issue of anti-stealing behavior identification in power systems, aiming to improve the security and efficiency of power energy management. Under the current background of intelligent power g…
This paper outlines a comprehensive AI-driven Quality of Service (QoS) optimization method, presenting a rigorous examination of its effectiveness through extensive experimentation and analysis. By applying real-world da…
This paper presents a comparative analysis between the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), two vital artificial intelligence algorithms, focusing on optimizing Elliptic Curve Cryptography (ECC)…
Serverless computing has grown in popularity as a paradigm for deploying applications in the cloud due to its ability to scale, cost-effectiveness, and simplified infrastructure management. Serverless architectures can b…
Despite advancements in educational technology, traditional action recognition algorithms have struggled to effectively monitor student behavior in dynamic classroom settings. To address this gap, the Single Shot Detecto…
Remote palliative care has emerged as a viable option to address the complex needs of patients facing life-limiting illnesses, particularly in the context of evolving healthcare landscapes and technological advancements.…
This work proposes a new simulation model for a centralized transport robot control system that was created with the AnyLogic environment and a special blend of agent-based and discrete-event approaches. The model attemp…
The manuscript presents discussion about the disaster management approaches using social media. It is noted that rising popularity of social media has been witnessed to significantly contribute towards information propag…
With the continuous evolution of artificial intelligence technology, its integration into economic analysis models is becoming increasingly prevalent. This paper employs the Lasso Back Propagation neural network method t…
Cardiovascular disease (CVD) is a globally significant health issue that presents with a multitude of risk factors and complex physiology, making early detection, avoidance, and effective management a challenge. Early de…
