Title | ||
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A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings |
Abstract | ||
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This paper proposes a statistical learning approach for estimating occupancy in smart buildings using a set of small and simple nonintrusive sensors that can be viewed as alternatives to sensors that are sometimes perceived as invasive such as cameras. In that context, large amount of labelled training data are required. However, labelling large scale occupancy data is time consuming and tedious s... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TCE.2021.3131943 | IEEE Transactions on Consumer Electronics |
Keywords | DocType | Volume |
Estimation,Mixture models,Training data,Predictive models,Smart buildings,Intelligent sensors,Data models | Journal | 67 |
Issue | ISSN | Citations |
4 | 0098-3063 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jiaxun Guo | 1 | 0 | 0.34 |
Manar Amayri | 2 | 0 | 4.39 |
Nizar Bouguila | 3 | 1539 | 146.09 |
Wentao Fan | 4 | 1 | 1.03 |