Numbers, Intelligence, Manufacturing Technology and Machinery Automation (eBook, PDF)
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Volume is indexed by Thomson Reuters CPCI-S (WoS).
The aim of this collection of peer-reviewed papers is to strengthen academic exchange and cooperation in the field, to promote the rapid development of machinery, materials science and engineering applications, to improve the academic status of Manufacturing Technology and Machinery Automation and to extend China's international influence by reducing the separation between domestic concerns and world-class research.
The aim of this collection of peer-reviewed papers is to strengthen academic exchange and cooperation in the field, to promote the rapid development of machinery, materials science and engineering applications, to improve the academic status of Manufacturing Technology and Machinery Automation and to extend China's international influence by reducing the separation between domestic concerns and world-class research.
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