Results 21 to 30 of about 27,168 (260)
Predicting education building occupants’ thermal sensation through CatBoost-DF algorithm
A novel machine learning method, named CatBoost-DF (CatBoost deep forest), is proposed to solve this existing problem of low accuracy and lack of practicality in thermal sensation prediction.
Jianji Ren +4 more
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Enhancing cooling performance via airflow temperature fluctuations [PDF]
In ventilated and air-conditioned indoor environment, air movement substantially impacts thermal sensation and comfort of occupants from the point of view of whole body and local thermal sensation.
Lampret Žiga +2 more
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In order to advance the development of sensors fabricated with monofunctional sensation systems capable of a versatile response to tactile, thermal, gustatory, olfactory, and auditory sensations, mechanoreceptors fabricated as a single platform with an ...
Kunio Shimada
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The response of human thermal sensation and its prediction to temperature step-change (cool-neutral-cool). [PDF]
This paper reports on studies of the effect of temperature step-change (between a cool and a neutral environment) on human thermal sensation and skin temperature.
Xiuyuan Du +7 more
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Building Thermal Comfort Research Based on Energy-Saving Concept
Under the trend of building green and comfortable development, effective control of building energy consumption has become one of the problems that countries are actively facing to solve.
Feiran Xue, Jingyuan Zhao
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Existing thermal sensation prediction models typically examine the relationship between skin temperature and thermal sensation during cooling or heating seasons.
Qian Liu +6 more
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Towards Online Personalized-Monitoring of Human Thermal Sensation Using Machine Learning Approach
Thermal comfort and sensation are important aspects of building design and indoor climate control, as modern man spends most of the day indoors. Conventional indoor climate design and control approaches are based on static thermal comfort/sensation ...
Ali Youssef +3 more
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Personalized Human Thermal Sensation Prediction Based on Bayesian-Optimized Random Forest
Establishing a predictive model for human thermal sensation serves as the fundamental theoretical basis for intelligent control of building HVAC systems based on thermal comfort.
Hao Yang, Maoyu Ran
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Skin Heat Transfer and Thermal Sensation Coupling Model under Steady Stimulation
Thermal sensation prediction models can help to evaluate complex thermal environments and guide the environment conditioning strategy. However, most existing models are established basing on the thermal status of the entire human body or local body parts,
Yijia Zhou +3 more
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A Bayesian Deep Neural Network Approach to Seven-Point Thermal Sensation Perception
To create and maintain comfortable indoor environments, predicting occupant thermal sensation is an important goal for architects, engineers, and facility managers.
Mustafa Cakir, Akhan Akbulut
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