Prediction of damage intensity to masonry residential buildings with convolutional neural network and support vector machine
Crossref DOI link: https://doi.org/10.1038/s41598-024-66466-3
Published Online: 2024-07-15
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jędrzejczyk, Adrian
Firek, Karol
Rusek, Janusz
Alibrandi, Umberto
Text and Data Mining valid from 2024-07-15
Version of Record valid from 2024-07-15
Article History
Received: 5 April 2024
Accepted: 1 July 2024
First Online: 15 July 2024
Competing interests
: The authors declare no competing interests.