The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Artificial intelligence (AI) is the branch of computer science concerned with building systems that perform tasks normally requiring human intelligence, such as reasoning, planning, perception, and language understanding. The field spans symbolic approaches (rule-based expert systems, knowledge graphs, automated planning) and statistical approaches (machine learning, deep neural networks, probabilistic reasoning), increasingly combined to improve interpretability and reliability. AI research addresses search and optimization, multi-agent coordination, knowledge representation, and generalization from limited data. Applications range from recommendation engines and autonomous vehicles to fraud detection, scientific discovery, and decision-support systems in medicine, finance, and manufacturing. Agentic AI, systems that plan and act across multi-step tasks, has become a leading research focus; Stanford's 2026 AI Index Report finds most organizations are still experimenting with AI agents rather than deploying them at scale. As a peer-reviewed, open-access artificial intelligence journal, IJACSA (an AI journal indexed in Scopus) publishes research spanning foundational algorithms to applied AI systems evaluated on real-world datasets.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
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…
The increasing demand for sustainable energy solutions and environmental monitoring necessitates advanced technologies. This work combines the capabilities of AI, in the form of a GRU-Auto encoder, with IoT-connected Adv…
