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 Novel Deep Neural Network Based Stress Detection System Subject The topic of the resource COVID 19; LSTM; RMSProp; RNN; Sigmoid; Stress Description An account of the resource Stress is a state of tension on an emotional or bodily level. Frustration, despair, anxiety, and other mental health problems can all be brought on by Stress. Strain is a side effect of Stress. People can openly share their views and opinions on social media networking sites like Twitter and Facebook, which are highly popular. The COVID 19 pandemic has wreaked havoc on millions of peoples lives all across the world. The public has experienced Stress as a result of the various measures employed to stop the spread of COVID 19, including confinement and social isolation. The current research seeks to develop an unique COVID 19 scenario-based deep neural network-based Stress detection system using tweets related to COVID 19. We use deep learning to create three models. RNN with single LSTM layer, two layers of LSTM with RNN followed by bidirectional LSTM layer is built to detect Stress for the considered dataset. A number of recurrent neural networks are built upon the Keras layers. The optimization algorithm called RMSProp and Sigmoid activation function is used. It is observed that RNN with 2 layers of LSTM outperforms the other deep learning architectures constructed. 2023 American Institute of Physics Inc.. All rights reserved. Creator An entity primarily responsible for making the resource Jyothsna R.; Rohini V.; Paulose J. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2909, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0181900" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0181900</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179877706&amp;doi=10.1063%2F5.0181900&amp;partnerID=40&amp;md5=69057dd796dafa5e74181df0e34665f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179877706&amp;doi=10.1063%2f5.0181900&amp;partnerID=40&amp;md5=69057dd796dafa5e74181df0e34665f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544750-9 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 Jyothsna R., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Rohini V., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Paulose J., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India