Zonzini, F.; Bogomolov, D.; Dhamija, T.; Testoni, N.; De Marchi, L.; Marzani, A.
Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring. Sensors 2022, 22, 1091.
https://doi.org/10.3390/s22031091
AMA Style
Zonzini F, Bogomolov D, Dhamija T, Testoni N, De Marchi L, Marzani A.
Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring. Sensors. 2022; 22(3):1091.
https://doi.org/10.3390/s22031091
Chicago/Turabian Style
Zonzini, Federica, Denis Bogomolov, Tanush Dhamija, Nicola Testoni, Luca De Marchi, and Alessandro Marzani.
2022. "Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring" Sensors 22, no. 3: 1091.
https://doi.org/10.3390/s22031091
APA Style
Zonzini, F., Bogomolov, D., Dhamija, T., Testoni, N., De Marchi, L., & Marzani, A.
(2022). Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring. Sensors, 22(3), 1091.
https://doi.org/10.3390/s22031091