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- Machines | An Open Access Journal from MDPI
Machines is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI The IFToMM is affiliated with Machines and its members receive a discount on the article processing charges
- 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
- Machines | Editorial Office - MDPI
Machines Editorial Office MDPI, Grosspeteranlage 5, 4052 Basel, Switzerland Tel : +41 61 683 77 34 (MDPI HQ Basel, Switzerland 9:00 - 17:00 CET) For queries regarding Special Issues, submission deadlines, editorial policies, discounts and vouchers, please contact the journal’s Editorial Office: machines@mdpi com Managing Editor Ms Missy Wu
- Bioinspired Soft Machines: Engineering Nature’s Grace into Future . . .
This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged We discuss the remarkable adaptability and versatility of soft machines, whose designs draw inspiration from nature’s elegant solutions
- 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 | Announcements - MDPI
Machines (ISSN: 2075-1702) is pleased to announce the following 29 researchers, who have been added to our group of 2025–2026 Early Career Editorial Board Members Please join us in congratulating them on joining the Machines community!
- Emerging Technologies for Advanced Power Electronics and Machine Design . . .
Advances in power electronics and electric machines have been addressed by several researchers during the last decades Bose et al focused explicitly on this topic and published a general overview of current and future trends in two papers in 1993 and 2008 , followed by a comprehensive book in 2020
- Application of Deep Learning in Intelligent Machines - MDPI
This Special Issue is focused on the study and discovery of the applications of deep learning algorithms in intelligent machines, which mainly include intelligent robotics, autonomous driving, intelligent fault diagnosis, intelligent assembly, intelligent manufacturing, process optimization, supply chain management, and safety
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