Gallardo-Llopis, C.; Gosálbez, J.; Morell-Monzó, S.; Vázquez, S.; Font, A.; Payá, J.
Ultrasound Reconstruction Tomography Using Neural Networks Trained with Simulated Data: A Case of Theoretical Gradient Damage in Concrete. Appl. Sci. 2025, 15, 4273.
https://doi.org/10.3390/app15084273
AMA Style
Gallardo-Llopis C, Gosálbez J, Morell-Monzó S, Vázquez S, Font A, Payá J.
Ultrasound Reconstruction Tomography Using Neural Networks Trained with Simulated Data: A Case of Theoretical Gradient Damage in Concrete. Applied Sciences. 2025; 15(8):4273.
https://doi.org/10.3390/app15084273
Chicago/Turabian Style
Gallardo-Llopis, Carles, Jorge Gosálbez, Sergio Morell-Monzó, Santiago Vázquez, Alba Font, and Jordi Payá.
2025. "Ultrasound Reconstruction Tomography Using Neural Networks Trained with Simulated Data: A Case of Theoretical Gradient Damage in Concrete" Applied Sciences 15, no. 8: 4273.
https://doi.org/10.3390/app15084273
APA Style
Gallardo-Llopis, C., Gosálbez, J., Morell-Monzó, S., Vázquez, S., Font, A., & Payá, J.
(2025). Ultrasound Reconstruction Tomography Using Neural Networks Trained with Simulated Data: A Case of Theoretical Gradient Damage in Concrete. Applied Sciences, 15(8), 4273.
https://doi.org/10.3390/app15084273