Total Visits

Visits
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals349

Total Visits Per Month

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 2026April 2026May 2026
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals17219421

File downloads

Visits
A novel methodology for the characterization of cutting conditions in turning processes using ML_final.pdf125

Top Country Visits

Visits
United States142
China56
Japan24
Vietnam18
Singapore13
Brazil8
Germany6
United Kingdom6
India6
Spain5

Top Cities Visits

Visits
San Mateo61
Beijing12
Buffalo8
Singapore8
San Jose5
Madrid4
Los Angeles3
Mumbai3
Sheffield3
Ashburn2