Investigators at Xi’an University of Architecture and Technology Describe Findings in Machine Learning (Non-intrusive Personal Thermal Comfort Modeling: a Machine Learning Approach Using Infrared Face Recognition

Robotics & Machine Learning Daily News2024，Issue(Jan.11) ：5-6.

来源：

NETL
NSTL

Investigators at Xi’an University of Architecture and Technology Describe Findings in Machine Learning (Non-intrusive Personal Thermal Comfort Modeling: a Machine Learning Approach Using Infrared Face Recognition

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromXi’an, People’s Republic of China, by NewsRx correspondents, research stated, “At present, non-intrusivepersonal thermal comfort models are receiving more and more attention. Non-intrusive sensing technologyis used to accurately capture the real-time thermal state of occupants indoors so as to construct personalthermal comfort models by data-driven methods.”

Key words

Xi’an/People’s Republic of China/Asia/Bioengineering/Biometrics/Biotechnology/Cyborgs/Emerging Technologies/Face Recognition/Machine Learning/Technology/Xi’an University of Architecture and Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航