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A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals290

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January 2025February 2025March 2025April 2025May 2025June 2025
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals00005061
July 2025August 2025September 2025October 2025November 2025December 2025
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals26385021175
January 2026February 2026March 2026
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals1723

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A novel methodology for the characterization of cutting conditions in turning processes using ML_final.pdf92

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United States136
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