About the Journal
Intelligence Modeling in Electromechanical Systems (IMES) is a distinguished peer-reviewed journal at the forefront of promoting advanced research and practical applications in the dynamic intersection of intelligence modeling and electromechanical systems. This journal serves as a dynamic platform for academics, researchers, and industry professionals to disseminate their groundbreaking discoveries, insights, and innovations in enhancing the intelligence, efficiency, and effectiveness of electromechanical systems. With a multidisciplinary approach, the journal fosters collaboration and knowledge exchange to drive transformative advancements in fields spanning artificial intelligence, electrical engineering, mechanical engineering, robotics, control systems, and more.
Editor(s)-in-Chief
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Dr.Jun Ye
Ningbo University, Ningbo, China
    Research interests: Electrical and Information Engineering, robotics, intelligent control, pattern recognitions, fault diagnosis, decision analysis.
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Dr.Seyyed Ahmad Edalatpanah
Ayandegan Institute of Higher Education, Iran
  Research interests: Numerical Modeling; Numerical linear algebra; Optimization; Uncertainty Theories; Soft Computing
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