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A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals389

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July 2021August 2021September 2021October 2021November 2021December 2021
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals0000203
January 2022February 2022March 2022April 2022May 2022June 2022
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals1519291123
July 2022August 2022September 2022October 2022November 2022December 2022
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals2211275
January 2023February 2023March 2023April 2023May 2023June 2023
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals7829411
July 2023August 2023September 2023October 2023November 2023December 2023
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals130000
January 2024February 2024March 2024April 2024May 2024June 2024
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals564201021
July 2024August 2024September 2024October 2024November 2024December 2024
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals291339132420

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A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals.pdf131

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Spain157
United States117
China36
Japan10
Australia9
Germany9
Belgium7
Argentina5
France5
Canada4

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Vitoria-Gasteiz157
Boardman21
Shanghai16
Ashburn6
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Perth3
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Zhengzhou2