Gast ::
Generating a nationwide residential building types dataset using machine learning
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In
Building and environment 274, Seiten/Artikel-Nr.:112782
2025
Online
DOI: 10.1016/j.buildenv.2025.112782
DOI: 10.18154/RWTH-2025-03124
URL: https://publications.rwth-aachen.de/record/1008728/files/1008728.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 690
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85219294681
WOS Core Collection: WOS:001440616100001
Interne Identnummern
RWTH-2025-03124
Datensatz-ID: 1008728
Beteiligte Länder
Germany
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz
; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections: |
PDF