The Intelligent System Review (ISR) publishes original and high-quality research covering both theoretical and applied aspects of Artificial Intelligence, Computational Intelligence, Control Systems, and Computer Science. The journal focuses on intelligent and computational methodologies that address complex real-world problems and advance the state of the art in intelligent systems.
ISR welcomes contributions in, but not limited to, the following areas:
Artificial Intelligence and Machine Learning
Deep Learning and Neural Networks
Computational Intelligence and Soft Computing
Control Systems and Automation
Robotics and Autonomous Systems
Data Science and Big Data Analytics
Computer Vision and Image Processing
Natural Language Processing
Intelligent Decision Support Systems
Internet of Things (IoT) and Cyber-Physical Systems
Cloud, Edge, and High-Performance Computing
Software Engineering and Intelligent Systems Applications
The journal encourages interdisciplinary research, industry-oriented studies, and innovative applications that bridge theory and practice while adhering to the highest standards of academic integrity and ethical publishing.
