Optimization-enabled deep stacked autoencoder for occupancy detection

Occupancy detection is the main building block of residential and commercial building automation systems. Currently, it is difficult to determine when and where people occupy a commercial building. The accurate occupancy detection in the buildings is used to save energy. Hence, this paper presents a...

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Bibliographic Details
Published in:	Social network analysis and mining Vol. 11; no. 1; p. 30
Main Authors:	Shirsat, Kavita Pankaj, Bhole, Girish P.
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.12.2021 Springer Nature B.V
Subjects:	Accuracy Applications of Graph Theory and Complex Networks Automation Building automation Building management systems Buildings Cameras Classifiers Commercial buildings Commercial real estate Computer Science Cooling Data Mining and Knowledge Discovery Data processing Economics Energy consumption Game Theory Heat Humanities HVAC Internet of Things Law Methodology of the Social Sciences Methods Neural networks Occupancy Optimization Original Article Principal components analysis Sensitivity analysis Sensors Social and Behav. Sciences Social networks Statistics for Social Sciences Transformation Ventilation Whales & whaling Wireless access points Support vector neural network Chaotic Whale optimization Log transformation Spider Monkey optimization Occupancy detection
ISSN:	1869-5450, 1869-5469
Online Access:	Get full text
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