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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 | January 2025 - Browse Articles - MDPI
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
- Machines | August 2024 - Browse Articles - MDPI
Collaboration between humans and machines is the core of the Industry 5 0 paradigm, and collaborative robotics is one the most impactful enabling technologies for small and medium Enterprises (SMEs)
- Machines | Aims Scope - MDPI
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 There is no restriction on the maximum length of the papers
- 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 | Special Issue : Semi-Active Vibration Control . . . - MDPI
Semi-active control offers great potential for the control of vibration in machines and structures by combining the modulation of passively generated elastic and energy dissipative forces with minimal control efforts
- 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
- YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary . . . - MDPI
Hussain, M YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection Machines 2023, 11, 677 https: doi org 10 3390 machines11070677
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