SSIOE: Self-Supervised Indoor Occupancy Estimation for Intelligent Building Management-Reference-Cited by-同舟云学术

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SSIOE: Self-Supervised Indoor Occupancy Estimation for Intelligent Building Management

Published:2023 Issue: Volume: Page:1-14
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Huang Sin-Han¹,Chao Tzu-Yin²,Wibisono Beatrice Adelaide³,Lin Mark Po-Hung⁴^ORCID,Huang Ching-Chun²^ORCID

Affiliation:

1. College of Artificial Intelligence, Institute of Intelligent Systems, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

2. Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

3. Electrical Engineering and Computer Science International Graduate Program, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

4. College of Artificial Intelligence and the Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

Funder

National Science and Technology Council, Taiwan

Higher Education Sprout Project of the National Yang Ming Chiao Tung University and the Ministry of Education (MOE), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10121910.pdf?arnumber=10121910

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Educational Spaces: Achieving Optimal Thermal Comfort, Occupancy Precision, and Energy Efficiency through the Integration of IoT Sensor Technology and Fuzzy Logic Control;SoutheastCon 2024;2024-03-15

2. Waste heat recovery, efficient lighting, and proper insulation: a comprehensive study of energy consumption and savings in the residential sector;Asian Journal of Civil Engineering;2023-11-13

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