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Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1007/s13349-020-00391-7.
  • About this
    data sheet
  • Reference-ID
    10416252
  • Published on:
    17/03/2020
  • Last updated on:
    18/05/2020
 
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