Barontini, A.; Masciotta, M.G.; Amado-Mendes, P.; Ramos, L.F.; Lourenço, P.B.
Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques. Sensors 2021, 21, 7155.
https://doi.org/10.3390/s21217155
AMA Style
Barontini A, Masciotta MG, Amado-Mendes P, Ramos LF, Lourenço PB.
Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques. Sensors. 2021; 21(21):7155.
https://doi.org/10.3390/s21217155
Chicago/Turabian Style
Barontini, Alberto, Maria Giovanna Masciotta, Paulo Amado-Mendes, LuĂs F. Ramos, and Paulo B. Lourenço.
2021. "Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques" Sensors 21, no. 21: 7155.
https://doi.org/10.3390/s21217155
APA Style
Barontini, A., Masciotta, M. G., Amado-Mendes, P., Ramos, L. F., & Lourenço, P. B.
(2021). Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques. Sensors, 21(21), 7155.
https://doi.org/10.3390/s21217155