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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...

詳細記述

保存先:
書誌詳細
出版年:Sensors (Basel)
主要な著者: Jung, Wooyoung, Jazizadeh, Farrokh, Diller, Thomas E.
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6749310/
https://ncbi.nlm.nih.gov/pubmed/31450666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19173691
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