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
Fault tolerance in cloud computing environments has matured significantly, and most cloud service providers now offer highly available and reliable services. However, such high levels of fault tolerance are often achieve…
Generative artificial intelligence (GenAI), large language models (LLMs), and multimodal foundation models are rapidly transforming healthcare by extending artificial intelligence beyond traditional predictive analytics…
Massive Open Online Courses (MOOCs) have expanded access to learning, but learner dropout remains a persistent challenge in online education. Most dropout prediction studies transform learner traces into behavioral featu…
Land registration and urban zoning are very important jobs for the government, but in many places, they still have problems with old processes, corruption, and a lack of openness. Urbanization and population growth are p…
Automated epileptic seizure detection from electroencephalogram (EEG) recordings remains a challenging biomedical signal analysis task because of the nonlinear, non-stationary, and high-dimensional characteristics of neu…
The rapid expansion of Artificial Intelligence (AI) is reshaping architectural education and practice, yet its systematic curricular integration remains limited in many higher education settings. This study developed the…
This study aims to identify and classify the technologies used across the waste-management lifecycle, qualitatively synthesize the types of operational and circularity-related outcomes reported in the literature, and exa…
Estimating crowd size in dense environments re-mains a complex problem, yet it holds critical value for safety monitoring, city infrastructure design, and large-scale gathering coordination. Leveraging contemporary devel…
Academic stress represents a significant challenge in higher education, especially for students navigating unfamiliar academic environments. In such contexts, difficulties in understanding expectations, feedback, and per…
Robust inspection of aeroengine turbine blades remains a critical challenge in safety-critical industrial environments, where limited data availability, class imbalance, optimisation bias, and imaging degradation can red…
