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TODOS: Thermal sensOr Data-driven Occupancy Estimation Syst..:

, In: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation,

Rajabi, Hamid ; Ding, Xianzhong ; Du, Wan. - p. 198-207 , 2023

Link: https://dl.acm.org/doi/10.1145/3600100.3623753

RT 
T1 <cTitle>Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation</cTitle>: T1 <Title>TODOS: Thermal sensOr Data-driven Occupancy Estimation System for Smart Buildings</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3623753&Exemplar=1&LAN=DE
				
A1 Rajabi, Hamid
A1 Ding, Xianzhong
A1 Du, Wan
A1 Cerpa, Alberto
PB ACM
YR 2023
K1 HVAC systems
K1 data augmentation
K1 neural networks
K1 occupancy estimation
K1 smart buildings
K1 thermal occupancy sensor
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 Sensor networks
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Computer vision
K1 Image and video acquisition
SP 198
OP 207
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3600100.3623753
DO https://dl.acm.org/doi/10.1145/3600100.3623753
SF ELIB - SuUB Bremen

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