On behalf of the Editor-in-Chief, Prof. Jun Yang and Executive Editor, Prof. Yan Gao, we are pleased to announce that the winner of the Sound & Vibration 2023 Best Paper Award. All papers published in Sound & Vibration during the past three years (from 1/1/2020 to 12/31/ 2022) were considered for the award. One paper was selected by the Award Committee to receive the award.
https://www.techscience.com/sv/v56n2/47132
The winner was selected based on the following criteria:
• Technical Quality of the paper, Breadth of innovation, and Impact degree.
• Citation Impact in 2022( numbers of citations in Google Scholar, WoS, etc.)
• Clarity and Conciseness of the presentation.
We are pleased to present the ‘SV Best Paper Award 2023’ to: Application of Machine Learning for Tool Condition Monitoring in Turning A. D. Patange, R. Jegadeeshwaran, N. S. Bajaj, A. N. Khairnar, N. A. Gavade Sound & Vibration, Vol.56, No.2, 2022.
All winners are offered a paper charge waiver for one article accepted by the respective journal that is submitted within 12 months of receiving the award. Also, an award certificate will be granted to the winners.
SV Editorial would like to take this opportunity to thank all the authors who’ve contributed their research findings and in-depth thoughts to the journal. We hope this award will encourage the best minds to release their best work in SV.
SV Editorial Office
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