Total Visits

Visits
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals444

Total Visits Per Month

May 2025June 2025
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals5061
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 2026June 2026July 2026
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals172194263258

File downloads

Visits
A novel methodology for the characterization of cutting conditions in turning processes using ML_final.pdf176

Top Country Visits

Visits
United States189
China61
Vietnam31
Japan24
Singapore13
United Kingdom10
Brazil8
Argentina7
Germany6
France6

Top Cities Visits

Visits
San Mateo61
Beijing12
Buffalo9
San Jose8
Singapore8
Mountain View6
Madrid4
Los Angeles3
Mexico City3
Mumbai3