Journal of Intelligent Engineering Systems

Journal of Intelligent Engineering Systems (JIES) is an international, peer-reviewed journal that publishes original research, review articles, and scholarly contributions in the interdisciplinary fields of intelligent systems and engineering.

The journal provides a platform for researchers, engineers, and practitioners to present advances in theories, methodologies, algorithms, technologies, and practical applications related to intelligent engineering systems.

Areas of interest include, but are not limited to:

• Artificial Intelligence and Machine Learning
• Deep Learning and Neural Networks
• Computational Intelligence
• Intelligent Control and Automation
• Robotics and Autonomous Systems
• Computer Vision and Pattern Recognition
• Natural Language Processing
• Data Mining and Knowledge Discovery
• Optimization and Decision Support Systems
• Internet of Things and Cyber-Physical Systems
• Intelligent Manufacturing and Industry 4.0
• Smart Energy and Smart Grid Systems
• Intelligent Transportation Systems
• Signal and Image Processing
• Engineering Data Analytics
• Digital Twins and Intelligent Simulation
• Human–Machine Interaction
• AI-enabled Engineering Applications

JIES welcomes theoretical studies, methodological innovations, experimental research, and real-world engineering applications. The journal aims to promote interdisciplinary collaboration and the development of reliable, efficient, and innovative intelligent engineering technologies.