Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach Subject The topic of the resource air quality; CNN; Deep learning; IAQ; LSTM; occupancy estimation Description An account of the resource Indoor Air Quality (IAQ) monitoring has been a significant research domain in energy conservation. Many energy resources are required to maintain the IAQ using airconditioning or other ventilation systems. Currently, the research works highly optimize an on-demand driven energy usage depending on the occupant present inside the building. In the last decade, numerous research works have evolved for such an optimization by installing sensors and predicting occupants using machine learning techniques. This research fails to deploy non-intrusive sensors and appropriate machine learning algorithms to predict the occupancy count. Advancement in neural network techniques termed deep learning has made significant performance in recognition and cognitive tasks. Thus, this paper proposes a hybrid deep learning model that stacks the convolutional neural network (CNN) and long short term memory (LSTM) to improve the prediction rate of the occupancy count. Experimentation has been carried out in real-time multivariate sensor data for the occupancy estimation and evaluated the performance in terms of accuracy, RMSE, MAPE, and coefficients of determinants. 2022 IEEE. Creator An entity primarily responsible for making the resource Ramanujam E.; Sharma A.; Hussian J.J.; Perumal T. Source A related resource from which the described resource is derived 2022 International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCSP53532.2022.9862328" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCSP53532.2022.9862328</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&amp;doi=10.1109%2FICICCSP53532.2022.9862328&amp;partnerID=40&amp;md5=d9cdf155a7d0cf48064875c460483e6b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&amp;doi=10.1109%2fICICCSP53532.2022.9862328&amp;partnerID=40&amp;md5=d9cdf155a7d0cf48064875c460483e6b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547258-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Sharma A., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Hussian J.J., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Perumal T., Universiti Putra, Department of Computer Science, Serdany, Selangor, Malaysia