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  • Machines | Open Access Journal | MDPI
    Machines Machines is an international, peer-reviewed, open access journal on machinery and engineering, published monthly online by MDPI The International Federation for the Promotion of Mechanism and Machine Science (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 Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible
  • Machines | Instructions for Authors - MDPI
    Machines is a member of the Committee on Publication Ethics (COPE) 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
  • Special Issues | Machines | MDPI
    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
  • Volume 13 | Machines | MDPI
    Machines, an international, peer-reviewed, Open Access journal
  • Machines | Article Processing Charges - MDPI
    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
  • Machines | Editorial Board - MDPI
    Machines, an international, peer-reviewed Open Access journal
  • Vol. 13, Iss. 2 | Machines | MDPI
    Machines, an international, peer-reviewed, Open Access journal
  • All Sections | Machines | MDPI
    Electric Machines and Drives is a traditional area of research, but it is in continuous evolution The development of new designs of different machine typologies, the design of new drive topologies, new control strategies, novel condition monitoring and fault diagnosis techniques, as well as the
  • From Static Prediction to Mindful Machines: A Paradigm Shift in . . . - MDPI
    A special class of complex adaptive systems—biological and social—thrive not by passively accumulating patterns, but by engineering coherence, i e , the deliberate alignment of prior knowledge, real-time updates, and teleonomic purposes By contrast, today’s AI stacks—Large Language Models (LLMs) wrapped in agentic toolchains—remain rooted in a Turing-paradigm architecture





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