The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on generative AI — including its use in software development, automated bug fixing, and other emerging applications.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed October 2026
Generative artificial intelligence (Gen AI) and large language models (LLMs) offer substantial potential to improve how organisations capture, organise, retrieve and reuse knowledge. Existing knowledge management (KM) fr…
Answering Arabic fatwa inquiries represents a highly critical yet challenging task in Natural Language Processing, requiring consideration of multiple jurisprudential conditions, interpretation of interconnected concepts…
Large Language Models (LLMs) offer strong capabilities for Natural Language Processing, yet their inherent uncertainty often produces hallucinations, confident but incorrect statements, which is critical in domains requi…
Large language models are now widely used in software engineering, yet most evidence of their practical effect comes from corporate productivity studies or synthetic bench-marks. This study offers a complementary view fr…
Schema matching remains a fundamental challenge for achieving data interoperability across heterogeneous information systems. Existing deep learning-based approaches often suffer from semantic drift, overlook the structu…
Recent developments in Large Language Models (LLMs) have created new opportunities to automate educational assessment and reduce workload for instructors. However, concerns regarding grading consistency, transparency, an…
Generative artificial intelligence (GenAI), large language models (LLMs), and multimodal foundation models are rapidly transforming healthcare by extending artificial intelligence beyond traditional predictive analytics…
Generative AI technologies are increasingly being adopted within creative learning environments, particularly in animation and digital media education. As AI-assisted tools become more accessible, there is a growing need…
Shortest path algorithms play an essential role in intelligent transportation systems, emergency response planning, and numerous Smart City services. This study investigates the applicability of three well-established gr…
Subtyping inflammatory bowel disease (IBD) from gut microbiome sequencing data is a clinically demanding problem. Cross-cohort variability is large, and models trained on one dataset often fail on another. In this work,…
