Data generative machine learning model for the assessment of outdoor thermal and wind comfort in a northern urban environment
author
Eslamirad, Nasim
De Luca, Francesco
Lylykangas, Kimmo Sakari
Ben Yahia, Sadok
statement of authorship
Nasim Eslamirad, Francesco De Luca, Kimmo Sakari Lylykangas, Sadok Ben Yahia
source
Frontiers of architectural research
publisher
Elsevier
journal volume number month
vol. 12, 3
year of publication
2023
pages
p. 541-555 : ill
url
https://doi.org/10.1016/j.foar.2022.12.001
subject term
linnaklimatoloogia
ehitise soojuskasutus
tuuled
prognoosmudelid
tehisõpe
keyword
urban climate
outdoor thermal and wind comfort
predictive model
data generative model
machine learning approach
ISSN
2095-2635
2095-2643
notes
Bibliogr. p. 554-555
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100413834
https://www.scopus.com/record/display.uri?eid=2-s2.0-85147377825&origin=inward&txGid=0fff0a8dde7ad55d00886833a467e4ec
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=FRONT%20ARCHIT%20RES&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:000990863800001
category (general)
Social sciences
Sotsiaalteadused
Engineering
Tehnika
category (sub)
Social sciences. Archeology
Sotsiaalteadused. Arheoloogia
Engineering. Architecture
Tehnika. Arhitektuur
Social sciences. Urban studies
Sotsiaalteadused. Linnauuringud
Engineering. Building and construction
Tehnika. Ehitus ja ehitus
quartile
Q1
TalTech department
ehituse ja arhitektuuri instituut
tarkvarateaduse instituut
Targa linna tippkeskus
language
inglise
Reserch Group
Data science group
Academy of architecture and urban studies