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1 Ergebnisse
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Tool Health Monitoring Using Airborne Acoustic Emission and..:
Arslan, Muhammad
;
Kamal, Khurram
;
Sheikh, Muhammad Fahad
...
Applied Sciences. 11 (2021) 6 - p. 2734 , 2021
Link:
https://doi.org/10.3390/app11062734
RT Journal T1
Tool Health Monitoring Using Airborne Acoustic Emission and Convolutional Neural Networks: A Deep Learning Approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_app11062734&Exemplar=1&LAN=DE A1 Arslan, Muhammad A1 Kamal, Khurram A1 Sheikh, Muhammad Fahad A1 Khan, Mahmood Anwar A1 Ratlamwala, Tahir Abdul Hussain A1 Hussain, Ghulam A1 Alkahtani, Mohammed PB MDPI AG YR 2021 SN 2076-3417 JF Applied Sciences VO 11 IS 6 SP 2734 LK http://dx.doi.org/https://doi.org/10.3390/app11062734 DO https://doi.org/10.3390/app11062734 SF ELIB - SuUB Bremen
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