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 September 2026
As autonomous vehicles (AVs) evolve recently, it is necessary to address the unique needs of the aging population group. They can get a significant benefit from this technology. This scoping review focus the role of mach…
Intradialytic hypotension (IDH) is a common complication in patients undergoing maintenance hemodialysis and is associated with an increased risk of cardiovascular and all-cause mortality. Machine learning (ML) and deep…
Accurate demand forecasting is critical for optimizing operations in the tourism and hospitality sectors. This paper proposes a robust multi-algorithmic framework leveraging four advanced models of Artificial Intelligenc…
This article presents an advanced approach to optimize production in Reconfigurable Manufacturing Systems (RMFS) by integrating Petri Nets with artificial intelligence (AI) techniques, particularly a genetic algorithm (G…
With the popularization of computer technology, the combination of artificial intelligence and image processing technology has become a research hotspot in the visual communication. Image processing technology mostly inv…
This scholarly investigation examines the utilization of artificial intelligence (AI) technology in the analysis and resolution of intricate societal challenges in many countries. The originality of this study resides in…
The “Xi” concept in the inheritance of auspicious culture covers the abundance of spiritual and material life, its symbolism is gorgeous and timeless and has lasted for thousands of years. Objective: This study investiga…
In order to develop intelligent learning recommendation systems, the work identifies the employment of artificial intelligence (AI) techniques, particularly in the educational data mining (EDM) field. The aggregation of…
Machine learning techniques in smart agriculture for yield prediction involve using algorithms to analyze historical and real-time data to forecast crop yields. These approaches aim to optimize agricultural practices, im…
This paper delves into the progressive design and operational capabilities of advanced robotic platforms, highlighting their adaptability, precision, and utility in diverse industrial settings. Anchored by a robust modul…