Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Autor:in) / Munteanu, Adrian (Autor:in) / De Rycke, Klaas (Autor:in) / De Laet, Lars (Autor:in)
Building and Environment ; 257
01.06.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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