Intelligence Modeling in Electromechanical Systems (IMES) is an international peer-reviewed journal dedicated to advancing research and innovation in intelligent modeling and its integration into electrical, power, and electromechanical engineering systems. The journal publishes high-quality theoretical and applied studies that contribute to the development, optimization, and real-world implementation of intelligence-driven solutions aimed at improving performance, efficiency, reliability, and sustainability in modern engineering infrastructures.
Scope:
The journal welcomes original research articles, review papers, and applied studies in (but not limited to) the following areas:
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Power Systems and Electrical Engineering
- Power Electronics
- Sensors and Instrumentation
- Intelligent Power Systems and Smart Energy Networks
- Control Systems and Optimization
- Intelligent Modeling and AI Applications
- Human-Machine Collaboration
- Robotics, automation, and mechatronic systems
- Emerging & Interdisciplinary Technologies
- Electromechanical Systems
- Emerging Technologies
- System Integration
IMES serves as a pivotal platform for disseminating influential research that unifies diverse domains, catalyzing cross-disciplinary collaboration and driving transformative innovation. By advancing the realms of intelligence modeling, computational intelligence, and state-of-the-art algorithms, the journal aims to foster the growth of knowledge and the effective application of intelligence-driven solutions across a multitude of fields.
Issue 1