About the Journal
Computational Intelligence Systems is an international academic journal dedicated to the advancement of computational intelligence and its applications in complex systems. The journal provides a platform for the dissemination of high-quality research that integrates artificial intelligence, machine learning, data analytics, and intelligent system design across interdisciplinary domains.
The journal focuses on both theoretical developments and practical implementations of intelligent technologies. It aims to bridge the gap between algorithmic innovation and real-world system deployment, emphasizing scalable solutions, system integration, and data-driven decision-making.
Areas of interest include, but are not limited to:
- Machine learning and deep learning
- Intelligent data analytics and big data systems
- Optimization and evolutionary computation
- Intelligent control and automation
- Distributed intelligent systems
- AI applications in engineering, infrastructure, and healthcare
All submissions are subject to a structured peer-review process to ensure originality, relevance, and academic rigor. The journal encourages contributions that demonstrate methodological innovation, practical significance, and interdisciplinary impact.
Computational Intelligence Systems operates as part of the SciVexus academic publishing platform, supporting open dissemination of research and fostering collaboration among researchers and practitioners worldwide.
