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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
  • Aims Scope | Machines | MDPI
    Articles published in Machines will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY) The copyright is retained by the author (s)
  • 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
  • Instructions for Authors | Machines | 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
  • Editorial Board | Machines | 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 | 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
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    This study explores the optimization of the machining time in CNC milling machines by varying the machine parameters and toolpath strategies Using the ICAM3D simulation software version 3 1 0, this approach focuses on minimizing the machining time while adhering to operational constraints
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  • AI Narrative Modeling: How Machines’ Intelligence Reproduces . . . - MDPI
    Kabashkin, I ; Zervina, O ; Misnevs, B AI Narrative Modeling: How Machines’ Intelligence Reproduces Archetypal Storytelling Information 2025, 16, 319 https: doi org 10 3390 info16040319
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    With the rapid technological development of machines in different applications such as vehicles, robotics, and manufacturing, concerns may arise with regard to complexity, safety, performance, and maintenance costs associated with the machine operati





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