Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are underpinned by the principle of real-time and high-classification performance, based on limited but efficient computational parameters. This principle has been found within the DNA of…
Machines Template
Write in a clean editor, then format for Machines in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Machines format
Machines is a peer-reviewed journal published by MDPI, covering Machine Fault Diagnosis Techniques, Gear and Bearing Dynamics Analysis, Advanced machining processes and optimization. Over its lifetime it has published 5,958 papers, which have received 50,136 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Machines 2023, 12, 45–58.
Formats any DOI in Machines style. No sign-up. |
| Publishes research in | Machine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Advanced machining processes and optimization Hydraulic and Pneumatic Systems Manufacturing Process and Optimization |
| ISSN | 2075-1702 |
| Citation impact (2-yr) | 3.19 |
| h-index | 62 |
| i10-index | 1,499 |
| Article processing charge | $1,949 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Machines per year
Citation impact of Machines by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Machines
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power…
This paper presents an empirical study of feature extraction methods for the application of low-speed slew bearing condition monitoring. The aim of the study is to find the proper features that represent the degradation condition of slew bearing rotating at very low speed (≈ 1 r/min) with naturally defect. The literature study of existing research,…
With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. An increasing amount…
This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values. As productive companies—public or private, large or small—need increasing profitability with costs reduction, discovering appropriate ways to exploit data that are continuously recorded and made available can be the right choice to…