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                                       Details for article 60 of 94 found articles
 
 
  Machine learning-based surrogate models for predicting the optimized weight and prestress level of double-curvature cable domes
 
 
Title: Machine learning-based surrogate models for predicting the optimized weight and prestress level of double-curvature cable domes
Author: Ahmed, Elshaimaa A.
El Damatty, Ashraf A.
Appeared in: Thin-walled structures
Paging: Volume 203 () nr. C pages p.
Year: 2024
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 60 of 94 found articles
 
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