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Heat Flux Sensing for Machine-Learning-Based Personal Thermal Comfort Modeling
In recent years, physiological features have gained more attention in developing models of personal thermal comfort for improved and accurate adaptive operation of Human-In-The-Loop (HITL) Heating, Ventilation, and Air-Conditioning (HVAC) systems. Pursuing the identification of effective physiologic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749310/ https://www.ncbi.nlm.nih.gov/pubmed/31450666 http://dx.doi.org/10.3390/s19173691 |