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

By Ali Shehadeh, Odey Alshboul, R. Mamlook, Ola Hamedat. 2021

356 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Medical Laboratory Technology, Radiological and Ultrasound Technology

View Paper: https://www.semanticscholar.org/paper/1f9a11cf6c81a6b5908676f85f6a78d0d3abce8c