Ahorrar: Indoor Occupancy Counting to Enable Smart Energy Efficient Office Buildings
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7636704/7723653/07723729.pdf?arnumber=7723729
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2. Measuring In-Building Spatial-Temporal Human Distribution through Monocular Image Data Considering Deep Learning–Based Image Depth Estimation;Journal of Computing in Civil Engineering;2021-09
3. Occupancy Prediction Using Differential Evolution Online Sequential Extreme Learning Machine Model;Energies;2020-08-04
4. Development of CNN-based visual recognition air conditioner for smart buildings;Journal of Information Technology in Construction;2020-07-21
5. Covid-19 risk assessment in public transport using ambient sensor data and wireless communications;Bulletin of Natural Sciences Research;2020
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