Guztirako bisita-kopurua

Bisita-kopurua
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals320

Hilabeteko bisita-kopurua

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 2026
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals1721914

Fitxategiaren deskargak

Bisita-kopurua
A novel methodology for the characterization of cutting conditions in turning processes using ML_final.pdf106

Bisita gehien egiten diren herrialdeak

Bisita-kopurua
United States138
China49
Japan24
Singapore13
Vietnam13
Brazil8
Germany6
India6
Spain5
United Kingdom5

Bisita gehien egiten diren hiriak

Bisita-kopurua
San Mateo61
Beijing11
Buffalo8
Singapore8
Madrid4
San Jose4
Los Angeles3
Mumbai3
Sheffield3
Ashburn2