Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
{"title":"Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing","authors":"M. Mishra, A. Bhatia, D. Maity","doi":"10.1007/s13349-020-00391-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":509380,"journal":{"name":"Journal of Civil Structural Health Monitoring","volume":" 2","pages":"389 - 403"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Civil Structural Health Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13349-020-00391-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}