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 October 2026
Artificial intelligence (AI) is increasingly used to support musculoskeletal diagnosis from routine imaging, yet evidence remains fragmented across diseases, modalities, tasks, and validation designs. This systematic rev…
Agriculture has always been a field of innovation, evolving alongside technological advancements to boost productivity and address sector-specific challenges. Today, the Internet of Things (IoT), edge computing, and arti…
The increasing complexity of embedded computing systems has made it difficult to achieve efficient code execution while effectively utilizing limited hardware resources. Conventional optimization methods mainly rely on c…
Generative artificial intelligence (GenAI) is creating new possibilities for data-informed decision-making in higher education, yet how it translates educational data into actionable decisions for different stakeholders…
Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) have enabled personalized education via intelligent tutoring, adaptive learning, automated assessments, and personalized feedback. Nevertheless,…
Social media has become a significant channel for communication and interaction, significantly influencing how organizations are perceived in the digital era. Online reputation management (ORM), as an addition to public…
Students or learners, especially those at the secondary and pre-university levels, face challenges in identifying suitable computing fields for personalized educational resources towards their tertiary education speciali…
Artificial intelligence (AI) is increasingly embedded in STEM problem-solving activities, yet existing reviews have generally organized the literature by technology type or learning outcome. This review shifts the analyt…
Cardiovascular disease remains a major public health burden and is associated with demographic, behavioral, and chronic-health characteristics. This study evaluates explainable machine learning for cross-sectional classi…
Diabetic Foot Ulcers (DFUs) are one of the most serious but preventable complications of diabetes mellitus that often develop without clinical signs until the late stages. This means that neuropathic and vascular abnorma…
