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
This study explores the transformative potential of machine learning (ML) algorithms in optimizing the Routing Protocol for Low-Power and Lossy Networks (RPL), addressing critical challenges in Internet of Things (IoT) n…
Explainable Artificial Intelligence (XAI) enhances interpretability in data-driven models, providing valuable insights into complex decision-making processes. By ensuring transparency, XAI bridges the gap between advance…
Social media has changed the world by providing the facility to common person to share their views and generate their own content, known as Users Generated Content (UGC). Due to huge volume of UGC data being created at g…
In current era of globalization, English language learning is important as it has become a global language and helps people to communicate from various regions and languages. For vocational students whose main aim is to…
Reinforcement Learning (RL) has become a rapidly advancing field inside Artificial Intelligence (AI) and self-sufficient structures, revolutionizing the manner in which machines analyze and make selections. Over the past…
This study introduces a novel approach to traffic congestion detection using Reinforcement Learning (RL) of machine learning classifiers enhanced by Explainable Artificial Intelligence (XAI) techniques in Smart City (SC)…
Art serves as a profound medium for humans to express and present their thoughts, emotions, and experiences in aesthetically and captivating means. It is like a universal language transcending the limitations of language…
This study proposes the implementation of a facial emotion recognition system based on Convolutional Neural Networks to detect emotions in real time, aiming to optimize the workplace environment and enhance organizationa…
Integrating artificial intelligence (AI) and computer vision in sports analytics has transformed decision-making pro-cesses, enhancing fairness and efficiency. This paper proposes a novel AI-driven image recognition syst…
The advancement of Artificial Intelligence (AI), in particular Deep Learning (DL), has made it possible to interpret gathered data more quickly and effectively in this new digital era. To draw attention to development ad…
