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- Machines | An Open Access Journal from MDPI
Journal Cluster of Mechanical Manufacturing and Automation Control: Aerospace, Automation, Drones, Journal of Manufacturing and Materials Processing, Machines, Robotics and Technologies
- Machines | Sections - MDPI
Prof Dr Dan Zhang Current Special Issues (28) Robotics, Mechatronics and Intelligent Machines 567 Articles
- Machines | Instructions for Authors - MDPI
Manuscripts for Machines should be submitted online at susy mdpi com The submitting author, who is generally the corresponding author, is responsible for the manuscript during the submission and peer review process
- Machines | Aims Scope - MDPI
About Machines Aims Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering It publishes research articles, reviews and communications Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible
- Machines | Special Issues - MDPI
Machines publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
- Machines | Editorial Board - MDPI
Interests: design of high precision machines; ultraprecision machining systems; micro-cutting mechanics and physics; multiscale multiphysics modelling and analysis; smart cutting tools and smart machining; physical AI for manufacturing systems
- Machines | 2022 - Browse Issues - MDPI
Machines, an international, peer-reviewed Open Access journal
- Application of Deep Learning in Intelligent Machines - MDPI
Deep learning algorithms have become the key components of intelligent machines Their ability to learn from data, adapt to different tasks, and provide superior performance has enabled for the development of intelligent machines
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