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Personal thermal comfort prediction using multi-physiological sensors: The design and development of deep neural network models based on individual preferences

Author(s):
ORCID

ORCID
Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 245
Page(s): 110940
DOI: 10.1016/j.buildenv.2023.110940
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.buildenv.2023.110940.
  • About this
    data sheet
  • Reference-ID
    10745206
  • Published on:
    28/10/2023
  • Last updated on:
    28/10/2023
 
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