Thermal Sensation

Citation Author(s):
Mustafa
Cakir
Submitted by:
Mustafa Cakir
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/9s4y-e116
Research Article Link:
A Bayesian Deep Neural Network Approach to Seven-Point Thermal Sensation Perception
Links:
ASHRAE Global Thermal Comfort Database II
License:
Creative Commons Attribution
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Categories:
Artificial Intelligence
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Abstract 

This is a subset of the ASHRAE Global Comfort Database that we used in our study to prove that Deep learning methods performs better than shallow methods predicting the thermal sensation.

Instructions: 

Sample Dataset is a subset of ASHRAE global thermal comfort database II which can be found https://doi.org/10.6078/D1F671

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