Litcius/Paper detail

Personal thermal comfort prediction using multi-physiological sensors: The design and development of deep neural network models based on individual preferences

Kanjana Haruehansapong, Mallika Kliangkhlao, Kirttayoth Yeranee, Bukhoree Sahoh

2023Building and Environment22 citationsDOI

Topics & Concepts

Thermal comfortArtificial neural networkAirflowComputer scienceRecallNatural ventilationSimulationArtificial intelligenceMeasure (data warehouse)Ventilation (architecture)EngineeringData miningPsychologyMechanical engineeringPhysicsThermodynamicsCognitive psychologyBuilding Energy and Comfort OptimizationRefrigeration and Air Conditioning TechnologiesSleep and Work-Related Fatigue
Personal thermal comfort prediction using multi-physiological sensors: The design and development of deep neural network models based on individual preferences | Litcius