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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Babu Kumar, S. Title A name given to the resource Deep Learning in Waste Management and Recycling in Digital Smart City Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Resilient Community Microgrids;pp.271-288 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394272549.ch11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394272549.ch11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003009533?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003009533?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Babu Kumar S., Department of Computer Science and Engineering, CHRIST University, Karnataka, Bangalore, India Description An account of the resource For waste management and recycling in smart cities, the fast growth of urban populations and the subsequent rise in garbage creation have posed considerable issues. For cities to be sustainable and ecologically friendly, good waste management and the promotion of recycling practises are crucial. Deep learning techniques have become a potent tool for solving complicated issues and streamlining numerous procedures in a variety of fields in recent years. In the framework of smart cities, this chapter proposes improved Deep learning model with IOT Architecture for recycling and garbage management. 2025 Scrivener Publishing LLC. Subject The topic of the resource augmentation; deep learning; Degradable; IOT; non-degradable; waste management Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139427254-9; 978-139427251-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online