First issue, Vol. 1, No. 1 (January–June 2026), will be published in April 2026.
The Article Processing Charge (APC) is waived for submissions until 31 May 2026.
Aims and Scope
Aims and Scope
The Journal of Mechanical Intelligence and Smart Systems (JMISS) aims to advance the knowledge and practice of integrating mechanical systems with intelligent technologies to enhance performance, adaptability, and efficiency, while promoting collaborative research among academia, industry, and government to develop innovative solutions to modern engineering challenges. Committed to fostering sustainable, ethical, and environmentally responsible mechanical innovations, the journal provides a scholarly platform for disseminating original research and technological advancements in mechanical intelligence and smart systems. By bridging theoretical research with industrial applications, JMISS supports real-world impact and highlights cutting-edge developments in automation, robotics, and intelligent manufacturing. Encouraging multidisciplinary approaches that combine mechanical design, data analytics, and artificial intelligence, the journal aspires to serve as a leading global reference for researchers, engineers, and practitioners shaping the future of smart mechanical systems.
Scope
The scope of the Journal of Mechanical Intelligence and Smart Systems (JMISS) covers a wide spectrum of topics at the intersection of mechanical engineering and intelligent systems, encouraging both fundamental and applied research contributions. It welcomes theoretical, computational, and experimental studies that drive innovation in the following areas:
Ø Intelligent mechanical systems and design
Ø Smart manufacturing and Industry 4.0 applications
Ø Robotics, mechatronics, and autonomous systems
Ø AI-driven control, simulation, and optimization in mechanical engineering
Ø Embedded systems and sensor integration in machinery
Ø Predictive maintenance and fault diagnosis using intelligent algorithms
Ø Energy-efficient mechanical systems and green manufacturing
Ø Digital twins and cyber-physical mechanical systems
Ø Human–machine interaction in intelligent mechanical environments
Ø Interdisciplinary applications combining mechanical engineering with AI, IoT, and data analytics
