A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data
Human occupancy counting is crucial for both space utilisation and building energy
optimisation. In the current article, we present a semi-supervised domain adaptation method …
optimisation. In the current article, we present a semi-supervised domain adaptation method …
A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data
IA Ang, M Hamilton, F Salim - ACM Transactions …, 2018 - researchrepository.rmit.edu.au
Transfer learning domain adaptation human occupancy count prediction ambient sensing
machine learning building occupancy presence detection number estimation crossspace …
machine learning building occupancy presence detection number estimation crossspace …
[PDF][PDF] A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data
IB ARIEF-ANG, M HAMILTON, FD SALIM - 2018 - researchgate.net
A preliminary version of this work was presented in Proceedings of the 4th ACM
International Conference on Systems for Energy-Efficient Built Environments (BuildSys …
International Conference on Systems for Energy-Efficient Built Environments (BuildSys …
A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data
IA Ang, M Hamilton, F Salim - ACM Transactions …, 2018 - researchrepository.rmit.edu.au
Transfer learning domain adaptation human occupancy count prediction ambient sensing
machine learning building occupancy presence detection number estimation crossspace …
machine learning building occupancy presence detection number estimation crossspace …