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Machines. 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. Open Access — free for readers, with article processing charges (APC) paid by authors or their ...
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. There is no restriction on the maximum length of the papers.
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China. Interests: rotating machinery dynamics; fault diagnosis; dynamic design of mechanical systems. * Section: Machines Testing and Maintenance. Special Issues, Collections and Topics in MDPI journals.
Special Issues. 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. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions ...
Machines is a member of the Committee on Publication Ethics . We fully adhere to its Code of Conduct and to its Best Practice Guidelines . The editors of this journal enforce a rigorous peer review process together with strict ethical policies and standards to ensure to add high quality scientific works to the field of scholarly publication.
All articles published in Machines (ISSN 2075-1702) are published in full open access. An article processing charge (APC) of CHF 2400 (Swiss Francs) applies to papers accepted after peer review. This article processing charge is to cover the costs of peer review, copyediting, typesetting, long-term archiving, and journal management.
Special Issue Information. Dear Colleagues, In recent years, the application of deep learning algorithms in the development of intelligent machines has achieved remarkable advancements. Deep learning, which is a subset of artificial intelligence (AI), has demonstrated its potential to revolutionize various domains.
Machines received its Impact Factor (2.899), ranked 61/137 (Q2) in “Engineering, Mechanical” and 127/276 (Q2) in “Engineering, Electrical & Electronic”. 2022. Machines announced the first edition of the Best Paper and PhD Thesis Award. Machines published its 1,000th paper. Machines was indexed in IndexCopernicus.
Apr 17, 2020 · Electric machines are critical components of the drivetrains of electric vehicles. Over the past few years the majority of traction drive systems have converged toward containing some form of a permanent magnet machine. There is increasing tendency toward the improvement of power density and efficiency of traction machines, thereby giving rise to innovative designs and improvements of basic ...
Mar 31, 2022 · Machines is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English.
