Data-driven prediction of construction and demolition waste generation using limited datasets in developing countries: an optimized extreme gradient boosting approach
Crossref DOI link: https://doi.org/10.1007/s10668-024-04814-z
Published Online: 2024-04-17
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Maged, Ahmed
Elshaboury, Nehal
Akanbi, Lukman
Text and Data Mining valid from 2024-04-17
Version of Record valid from 2024-04-17
Article History
Received: 11 July 2023
Accepted: 17 March 2024
First Online: 17 April 2024
Declarations
:
: The authors declare no conflict of interest.