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Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

Author(s):



Medium: journal article
Language(s): English
Published in: Automation in Construction, , v. 129
Page(s): 103827
DOI: 10.1016/j.autcon.2021.103827
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: 10.1016/j.autcon.2021.103827.
  • About this
    data sheet
  • Reference-ID
    10625219
  • Published on:
    26/08/2021
  • Last updated on:
    26/08/2021
 
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