- Published
- 2021-07-15
- Venue
- Automation in Construction, vol. 129, pp. 103827
- Cited by
- 418
- Open access
- No free copy found
- DOI
- 10.1016/j.autcon.2021.103827
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Shehadeh, A., Alshboul, O., Mamlook, R. E. A., & Hamedat, O. (2021). Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression. Automation in Construction, 129, 103827. https://doi.org/10.1016/j.autcon.2021.103827
- MLA 9
Shehadeh, Ali, et al. "Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression." Automation in Construction, vol. 129, 2021, pp. 103827, https://doi.org/10.1016/j.autcon.2021.103827.
- Chicago
Shehadeh, Ali, Odey Alshboul, Rabia Emhamed Al Mamlook, and Ola Hamedat. "Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression." Automation in Construction 129 (2021): 103827. https://doi.org/10.1016/j.autcon.2021.103827.
- GOST
Shehadeh A., Alshboul O., Mamlook R. E. A. [и др.] Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression // Automation in Construction. — 2021. — Vol. 129. — P. 103827. — URL: https://doi.org/10.1016/j.autcon.2021.103827
- BibTeX
@article{shehadeh2021machine, title = {{Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression}}, author = {Ali Shehadeh and Odey Alshboul and Rabia Emhamed Al Mamlook and Ola Hamedat}, journal = {Automation in Construction}, year = {2021}, volume = {129}, pages = {103827}, doi = {10.1016/j.autcon.2021.103827}, url = {https://doi.org/10.1016/j.autcon.2021.103827} }- RIS
TY - JOUR AU - Shehadeh, Ali AU - Alshboul, Odey AU - Mamlook, Rabia Emhamed Al AU - Hamedat, Ola TI - Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression JO - Automation in Construction VL - 129 SP - 103827 PY - 2021 DA - 2021/07/15 DO - 10.1016/j.autcon.2021.103827 UR - https://doi.org/10.1016/j.autcon.2021.103827 ER -