The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on artificial intelligence — from AI-driven business decision-making and disaster risk management to systematic literature reviews of AI adoption across industries.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Smart cities increasingly rely on Artificial Intelligence (AI), 5G, and Internet of Things (IoT) technologies to enhance energy management and support real-time decision-making in smart grids. This study presents a syste…
The increasing use of advanced technologies with artificial intelligence in our daily lives has become an urgent necessity to facilitate tasks in a fluid and simple way, which leads to the generation of huge amounts of d…
The integration of Software Defined Networking (SDN) and Network Function Virtualization (NFV) offers considerable advantages in terms of scalability, interoperability, and cost-efficiency. They redefine network architec…
Emotional expression of music conductor works is the core of music performance. Based on deep learning technology, this study puts forward an emotional analysis method of music conductor works, constructs a complete fram…
The risk of maternal health issues remains a particular challenge in regions with scant access to continuous antenatal care. This study proposes a smartwatch-based system for evaluating the possible risks associated with…
Poultry farming is pivotal to global food security, yet maintaining optimal environmental and operational conditions remains a challenge. Suboptimal conditions, such as high temperature and humidity, promote bacterial gr…
In an educational environment that is undergoing digital transformation, the need to create smarter, learner-centred learning environments is becoming increasingly urgent. This article presents a conceptual modeling of a…
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and increases the risk of stroke, heart failure, and mortality. Electrocardiography (ECG) is the most important technology for AF detection because…
The increasing complexity of machine learning models necessitates robust methods for interpretability, particularly in clustering applications, where understanding group characteristics is critical. To this end, this pap…
An Artificial Intelligence-driven child learning system with a Machine Learning and Natural Language Processing-based approach to dynamically personalize educational experiences for children is proposed in this study. Us…
