A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation

This study presents a comprehensive investigation into the interplay between machine learning (ML) models, morphological features, and outdoor thermal comfort (OTC) across three key indices: Universal Thermal Climate Index (UTCI), Physiological Equivalent Temperature (PET), and Predicted Mean Vote (...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Alinasab Niloufar
Mohammadzadeh Negar
Karimi Alireza
Mohammadzadeh Rahmat
Gál Tamás Mátyás
Dokumentumtípus: Cikk
Megjelent: 2025
Sorozat:INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 69 No. 7
Tárgyszavak:
doi:10.1007/s00484-025-02921-8

mtmt:36099916
Online Access:http://publicatio.bibl.u-szeged.hu/39009

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