Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users' Feedback, IoT and Machine Learning: A Case Study <sup>†</sup>.

Sensors (Basel) · 2018 · PMC5981446 · PMID 29772818

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scarcely significantno p-value reported

Then a new dataset was built excluding: time dependencies, subjective variable related to the accelerations in the three axis, scarcely significant given the sedentary activities of the involved users, and environmental variable such as CO 2 concentration and illuminance level.

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