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                                       Details for article 38 of 45 found articles
 
 
  Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation
 
 
Title: Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation
Author: Rajaee, Pouya
Ghasemi, Faramarz Ashenai
Rabiee, Amir Hossein
Fasihi, Mohammad
Kakeh, Behnam
Sadeghi, Alireza
Appeared in: Composites. Part C, Open access
Paging: Volume 15 () nr. C pages p.
Year: 2024
Contents:
Publisher: The Author(s)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 38 of 45 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands