Digital library of construction informatics and information technology in civil engineering and construction
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Paper: 14
| Paper title: | Predicting recoverable material stock in buildings: using machine learning with demolition audit data as a case study |
| Authors: | N E Kobylinska, D Raghu, M Gordon, J Hunhevicz, C De Wolf |
| Summary: | |
| Type: | conference paper |
| Year of publication: | 2023 |
| Series: | w78:2023 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-2023-paper_14.pdf |
| Citation: | N E Kobylinska, D Raghu, M Gordon, J Hunhevicz, C De Wolf (2023). Predicting recoverable material stock in buildings: using machine learning with demolition audit data as a case study. Proceedings of the 40th International Conference of CIB W78, Heraklion, Greece, 10-12 July, pp. 109-116 (ISSN: 2706-6568), http://itc.scix.net/paper/14 |
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