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 Articles Article Faculty Publications -Articles 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 An energy efficient approach of deep learning based soft sensor for air quality management Subject The topic of the resource Artificial ant colony optimization; CNN; Contour extraction and edge detection; Gradient vector flow Description An account of the resource Monitoring environmental pollution is emerging as a recent study area especially in urban and highly polluted industrial areas. This field deploys many chemical analysis models and data driven models through soft sensors. But bio indicators are a more feasible, cost effective and precise monitoring model, which are rarely explored. This paper is based on growth monitoring of Cryptogams, a bio indicator which is capable of directly reflecting the pollution levels in the region of growth. A novel enhanced and energy efficient deformable active contour model is introduced to trace the development of transplanted Cryptogams at various sites with diverse pollution levels. The vegetative development of Cryptogams is monitored for duration of two weeks. The proposed energy efficient contour tracing model proves its superiority in precise tracing of the Cryptogam development, thus aiding in accurate pollution monitoring. The VGG 16 architecture built using deep convolutional neural network by constructing stacks of filters. VGG 16 architecture showed high performance when compared with other existing models. The accuracy is compared with the Ant colony optimization using GVF. 2022 The Authors Creator An entity primarily responsible for making the resource P K.; Selvaraj P.; Burugari V.K.; K C.P.; S S.P. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-24 Publisher An entity responsible for making the resource available Elsevier Ltd 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/10.1016/j.measen.2022.100460" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2022.100460</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139055810&amp;doi=10.1016%2Fj.measen.2022.100460&amp;partnerID=40&amp;md5=41a6ef6c74b30ccc6bb08284f895831e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139055810&amp;doi=10.1016%2fj.measen.2022.100460&amp;partnerID=40&amp;md5=41a6ef6c74b30ccc6bb08284f895831e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant P K., Department of DSBS, SRM Institute of Science and Technology, Chennai, India; Selvaraj P., School of CSE, VIT-AP University, Amaravati, India; Burugari V.K., Department of CSE, Koneru Lakshmaiah Education Foundation, K L University, Guntur, India; K C.P., Department of Information Technology, Bannari Amman Institute of Technology, Erode, India; S S.P., Department of CSE, CHRIST (Deemed to be University), Bangalore, India