Al-Habaibeh, A ORCID: https://orcid.org/0000-0002-9867-6011, Manu, E
ORCID: https://orcid.org/0000-0002-9002-3681, Clement, T, Shakmak, B
ORCID: https://orcid.org/0000-0003-4534-9196, Selvam, J
ORCID: https://orcid.org/0009-0008-6532-7326 and Lin, T-H,
2024.
Rapid evaluation of embodied carbon of buildings’ lifecycle using artificial intelligence.
In: Riffat, S, ed.,
Sustainable Energy Technologies: proceedings of the 21st International Conference on Sustainable Energy Technologies, 12 to 14th August 2024, Shanghai, China.
University of Nottingham, pp. 1-9.
ISBN 9780853583561
Item Type: | Chapter in book |
---|---|
Description: | Paper presented at SET2024: 21st International Conference on Sustainable Energy Technologies 12 to 14th August 2024, Shanghai, China. |
Creators: | Al-Habaibeh, A., Manu, E., Clement, T., Shakmak, B., Selvam, J. and Lin, T.-H. |
Publisher: | University of Nottingham |
Date: | 12 December 2024 |
Volume: | 1 |
ISBN: | 9780853583561 |
Identifiers: | Number Type 2334992 Other |
Divisions: | Schools > School of Architecture, Design and the Built Environment |
Record created by: | Laura Borcherds |
Date Added: | 20 Feb 2025 15:55 |
Last Modified: | 20 Feb 2025 16:10 |
URI: | https://irep.ntu.ac.uk/id/eprint/53098 |
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