Garrido, I.; Erazo-Aux, J.; Lagüela, S.; Sfarra, S.; Ibarra-Castanedo, C.; Pivarčiová, E.; Gargiulo, G.; Maldague, X.; Arias, P.
Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms. Sensors 2021, 21, 750.
https://doi.org/10.3390/s21030750
AMA Style
Garrido I, Erazo-Aux J, Lagüela S, Sfarra S, Ibarra-Castanedo C, Pivarčiová E, Gargiulo G, Maldague X, Arias P.
Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms. Sensors. 2021; 21(3):750.
https://doi.org/10.3390/s21030750
Chicago/Turabian Style
Garrido, Iván, Jorge Erazo-Aux, Susana Lagüela, Stefano Sfarra, Clemente Ibarra-Castanedo, Elena Pivarčiová, Gianfranco Gargiulo, Xavier Maldague, and Pedro Arias.
2021. "Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms" Sensors 21, no. 3: 750.
https://doi.org/10.3390/s21030750
APA Style
Garrido, I., Erazo-Aux, J., Lagüela, S., Sfarra, S., Ibarra-Castanedo, C., Pivarčiová, E., Gargiulo, G., Maldague, X., & Arias, P.
(2021). Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms. Sensors, 21(3), 750.
https://doi.org/10.3390/s21030750