A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction
https://orcid.org/0009-0006-5907-8621
https://orcid.org/0000-0001-7290-0428
https://orcid.org/0000-0003-2923-0750
https://orcid.org/0000-0002-1073-3051
Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction
https://orcid.org/0009-0006-5907-8621
https://orcid.org/0000-0001-7290-0428
https://orcid.org/0000-0003-2923-0750
https://orcid.org/0000-0002-1073-3051
Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction
https://orcid.org/0009-0006-5907-8621
https://orcid.org/0000-0001-7290-0428
https://orcid.org/0000-0003-2923-0750
https://orcid.org/0000-0002-1073-3051
Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction
Building and Environment
Fenton, Sandie Kate (author) / Munteanu, Adrian (author) / De Rycke, Klaas (author) / De Laet, Lars (author)
Building and Environment ; 257
2024-06-01
Article (Journal)
Electronic Resource
English
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