Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters-Reference-Cited by-同舟云学术

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Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Lala Betty¹,Kala Srikant Manas²,Rastogi Anmol³,Dahiya Kunal⁴,Hagishima Aya¹

Affiliation:

1. Kyushu University,Interdisciplinary Graduate School of Engineering Sciences,Fukuoka,Japan

2. Osaka University,Mobile Computing Laboratory, Graduate School of Information Science and Technology,Japan

3. Indian Institute of Technology Hyderabad,India

4. Indian Institute of Technology,Delhi,India

Funder

Japan Science Society

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945533.pdf?arnumber=9945533

Reference31 articles.

1. Adam: A method for stochastic optimization;kingma;ICLRE,2015

2. LIBSVM

3. Thermal comfort conditions in the morning and in the evening

4. Diurnal change in psychological and physiological responses to consistent relative humidity

5. Some evidence of a time-varying thermal perception;vellei;Indoor and Built Environment,2021

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1. The Challenge of Multiple Thermal Comfort Prediction Models: Is TSV Enough?;Buildings;2023-03-28

2. A Review of Thermal Comfort in Primary Schools and Future Challenges in Machine Learning Based Prediction for Children;Buildings;2022-11-17

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