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 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,…
This work proposes a computational framework for modeling semantic relationships between medical specialties using large language models. Forty-four medical specialties officially recognized in France were analyzed using…
Automated Essay Scoring (AES) has become an important research area in educational artificial intelligence due to its potential to support scalable and consistent assessment. The developments within the realm of transfor…
Climate change is increasingly recognized as a major global challenge that affects environmental systems, weather patterns, and human societies around the world. Rising global temperatures have been linked to more freque…
Large Language Models (LLMs) have reshaped how machines read and compare text, yet most similarity learning pipelines built on top of them still behave like black boxes: a single cosine score is returned without any indi…
Welding Robot Path Planning (WRPP) is a core technology for welding automation that seeks an optimal path that satisfies the requirements of the welding process in complex obstacle environments. However, existing algorit…
Whiteboard digitization in educational settings grapples with challenges posed by handwritten text, mathematical notation, and unstructured layouts that confound traditional Optical Character Recognition (OCR) systems. C…
Automated generation of high-quality educational assessment items is still difficult, especially when it comes to higher-order cognitive skills. Although Large Language Models (LLMs) show promise, their structural validi…
The increasing use of large language models (LLMs) in domains requiring interpretation and judgment has raised critical questions about trust, reliability, and account-ability, particularly in contexts where decisions ca…
Phenotyping inflammatory bowel disease (IBD) from gut microbiome profiles remains challenging due to 93% genus-level zero-inflation, skewed amplicon count distributions, and the practical cost of assembling labelled coho…
