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 study examines how Artificial Intelligence (AI) is transforming academic integrity in higher education, altering both learning opportunities and the risks associated with misconduct. As creative AI tools become embe…
This study presents an expert-based evaluation of a proposed context-aware ERP model designed to support adaptive legal compliance in multilingual regulatory environments, with a focus on North Macedonia. The model integ…
This study investigated how guests' technological perceptions of Artificial Intelligence (AI) applications perceived usefulness (PU), perceived ease of use (PEOU), enjoyment (ENJ), and privacy concerns (PC) influence cus…
Malaria remains a major public health issue in Ivory Coast, where the need for accurate and interpretable predictive models is critical for effective disease control. While most existing approaches prioritize predictive…
Climate change and environmental variability increasingly affect human health, particularly in agroecosystems exposed to fluctuating air quality and climatic conditions. Al-though recent advances in artificial intelligen…
The COVID-19 pandemic has driven a substantial rise in depression, notably in Argentina’s post-quarantine period, motivating the need for predictive tools to support timely mental health interventions. This study uses a…
Breast cancer (BC) remains the leading cause of cancer-related death all over the world. Early accurate detection is key to the improvement of patient prognosis. The ability of advanced Artificial Intelligence (AI) metho…
Effort estimations, including budgets, hiring people, and project timelines, in the Agile methodology, are determined by tools like COCOMO and Function-Point analysis. This study presents a framework driven by artificial…
Generative Artificial Intelligence (GenAI) is rapidly reshaping teaching and learning in higher education, particularly in pro-gramming and computer science education, where tools such as ChatGPT and GitHub Copilot are i…
Intelligent transportation systems aim to improve traffic management and road safety, manage traffic effectively, and reduce roadway system congestion. This optimally requires estimating future traffic congestion. Unfort…
