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
The pace of advancement in Generative AI has made it possible to realize highly realistic synthetic identities in the form of avatars for non-existent persons, thus paving the way for a paradigm beyond state-of-the-art d…
Lesson planning in cybersecurity is time-consuming and cognitively demanding, especially for less experienced instructors, and manual approaches often lack flexibility across courses and contexts. We present a framework…
Large Language Models (LLMs) are increasingly integrated into software engineering workflows, yet existing studies provide fragmented or domain-specific examinations of their impact. This survey aims to systematically an…
The rapid integration of Generative AI into instructional engineering presents a critical challenge: verifying the capacity of these tools to strictly adhere to systemic theoretical models of learning, despite the risk o…
The recent developments in artificial intelligence (AI) have introduced transformative tools into the educational landscape, with early signs of its impact on advancing student learning methods and possible outcomes. Thi…
This paper explores the application of Deep Reinforcement Learning (DRL) and Large Language Models (LLMs) to portfolio optimization, a critical financial task requiring strategies to balance risk and return in volatile m…
Web development supports business, education, and public services online, so speed and reliability are important. Low-code and no-code (LCNC) platforms aim to save time by using visual tools instead of writing all code.…
Cloud platforms continuously generate vast amounts of logs, metrics, and traces that are vital for monitoring and debugging distributed systems. However, current observability solutions are often siloed, dashboard-centri…
Large Language Models such as GPT-4o and GPT-4o-mini have shown significant promise in various fields. However, hallucination, when models generate inaccurate information, remains a critical challenge, especially in doma…
Machine-Readable Code (MRC) and Machine-Readable Regulations (MRR) enable the conversion of complex regulations into structured formats such as JSON, XML, and X2RL, allowing machines to parse and interpret regulatory tex…
