Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
Crossref DOI link: https://doi.org/10.1007/s13349-020-00391-7
Published Online: 2020-03-06
Published Print: 2020-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mishra, Mayank http://orcid.org/0000-0001-9321-5032
Bhatia, Amanjeet Singh
Maity, Damodar
Text and Data Mining valid from 2020-03-06
Version of Record valid from 2020-03-06
Article History
Received: 12 October 2019
Revised: 17 February 2020
Accepted: 24 February 2020
First Online: 6 March 2020