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
Modern recruitment requires smarter, faster, and more inclusive methods to manage the growing volume and diversity of job applications and candidate resumes. Manual screening is often ineffective and unreliable especiall…
This study presents the design and evaluation of a conversational agent aimed at supporting university students' mental health. We implemented two variants of a chatbot, referred to as A1 and A2, using large language mod…
As Generative Artificial Intelligence (Gen AI) is evolving rapidly, there is a significant change in the approach by the contact center industry with respect to work culture. Historically, customer service agents working…
The current era is characterized by technological advancement and innovation, which affect various sectors. Numerous remarkable and alluring computer programs and applications have surfaced, including ones that aim to re…
Digital transformation is a key driver of business evolution, but it comes with significant challenges, particularly employee resistance to change. This resistance can manifest in various forms, ranging from explicit opp…
Large Language Models (LLMs) have demon-strated remarkable capabilities in generating human-like text; however, their effectiveness in abstractive summarization across diverse domains remains underexplored. This study co…
Early-warning dashboards in higher education typically stop at tagging students as “at-risk,” offering no concrete guidance for remedial action; this limitation contributes to the loss of thousands of learners each year.…
Manual annotation of large datasets is a time-consuming and resource-intensive process. Hiring annotators or outsourcing to specialized platforms can be costly, particularly for datasets requiring domain-specific experti…
Generative Artificial Intelligence (GAI) has rapidly emerged as a transformative technology capable of autonomously creating human-like content across domains such as text, images, code, and media. While GAI offers signi…
Accurate topic labeling is essential for structuring and interpreting large-scale textual data across various domains. Traditional topic modeling methods, such as Latent Dirichlet Allocation (LDA), effectively extract to…
