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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 | 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 | Editorial Board - MDPI
    Interests: design of high precision machines; air-bearings design; micro cutting; ultraprecision machining; smart tooling * Section: Advanced Manufacturing Special Issues, Collections and Topics in MDPI journals
  • 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
  • A Review of Machine Learning and Deep Learning Methods for . . . - MDPI
    The problem with a person disappearing temporarily due to occlusions or scene changes proposes a large area for research Soon, it laid the groundwork for many popular algorithms like Ensemble RankSVM, which enhanced robustness by combining multiple Support Vector Machines (SVMs) to improve pairwise ranking Unlike traditional classification
  • Machines | Announcements - MDPI
    We are pleased to share that Machines (ISSN: 2075-1702) has received an increased CiteScore of 4 7 in June 2025 The CiteScore ranks the journal 28 out of 160 titles (Q1) in the “Control and Optimization” category, an impressive achievement
  • The Impact of Artificial Intelligence (AI) on Students’ Academic . . .
    The rapid advancement of Artificial Intelligence (AI) is transforming various sectors, and education is no exception AI plays a significant role in both general and higher education, influencing students’ academic development by offering a mix of opportunities and challenges (Edtech, 2020) From personalized learning experiences to intelligent tutoring systems that provide tailored guidance
  • The Machine as Art (in the 20th Century): An Introduction - MDPI
    The experience of a “war of machines” and the nuclear disasters of 1945 gave rise to a feeling of helplessness in the face of a technology that had revealed itself capable of annihilating humankind
  • A Comprehensive Survey of Machine Learning Techniques and Models for . . .
    Additionally, in industrial settings, object detection is integral to quality control processes, ensuring product standards, and in robotics, where it enables machines to interact more intelligently and accurately with their environment
  • Hydrogel-Based Biointerfaces: Recent Advances, Challenges, and . . . - MDPI
    By leveraging emerging strategies and technologies, conductive hydrogels are poised to play a pivotal role in developing next-generation HMI systems, enabling more seamless and effective integration between humans and machines





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