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
The architectural design process is often iterative, time-consuming, and heavily dependent on effective communication between clients and professionals. Existing design tools, such as Computer-Aided Design (CAD) systems,…
Urban waste management is shifting from fixed, reactive collection toward data-driven and adaptive service models. This review synthesizes 33 recent studies and technical contributions on Artificial Intelligence of Thing…
University-industry technology transfer (UITT) is essential for converting academic research into commercial use, yet traditional strategies often fail to address the knowledge gap. Literature suggests that institutional…
This study presents a state-of-the-art review of Artificial Intelligence and Machine Learning applications in motorsport, with a particular focus on Formula 1. As modern racing generates increasingly large volumes of hig…
IoT architecture is an intelligent green city when it incorporates information systems and Artificial Intelligence (AI) to maximize the utilization of resources, upgrade public services, and produce cities very efficient…
Generative artificial intelligence, particularly large language models such as ChatGPT, has emerged as a promising educational technology tool with extensive application potential in teaching preparation. The research ob…
The rapid advancement of Industry 4.0 and adoption of cyber-physical production systems (CPPS) demand real-time, adaptive, and privacy-preserving optimization that conventional centralized AI architectures cannot adequat…
Breast cancer remains one of the most prevalent and life-threatening diseases worldwide, needing to be diagnosed early and properly classified for effective treatment. Advancements in artificial intelligence (AI), deep l…
This study proposes an intrusion-prediction framework for e-Health information systems that combines structured web-log analysis, supervised machine learning, and Apache Spark-based distributed processing. A corpus of 1,…
The convergence of artificial intelligence (AI) and blockchain has become an active axis of interdisciplinary research in healthcare data security. This paper reports a bibliometric analysis of 434 Scopus-indexed article…
