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 Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents Subject The topic of the resource Adolescent; CNN; Deep learning; LSTM; Machine Learning algorithms; Stress Description An account of the resource Stress is a psychological condition that people who are experiencing difficulties in their social and environmental well-being face, and it can cause several health problems. Young individuals experience major changes during this crucial time, and they are expected to succeed in society. It's critical for people to master appropriate stress management techniques to ensure a smooth transition into adulthood. The transition to new settings, lifestyles, and interactions with a variety of people, things, and events occurs during adolescence. In this study, a dataset was utilized to classify 520 Indian individuals' stress levels into three categories: normal, moderate, and severe. Support Vector Machines, KNN, Decision Trees, Naive Bayes and CNN were among the different classification techniques that were taken into consideration. The CNN Algorithm was found to be the most reliable method for categorizing diseases linked to mental stress. The study's main goal is to create a classification model that can correctly classify a variety of samples into distinct levels of psychological discomfort. 2023 IEEE. Creator An entity primarily responsible for making the resource Rappai S.; Gobi R. Source A related resource from which the described resource is derived 4th International Conference on Communication, Computing and Industry 6.0, C216 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/C2I659362.2023.10431047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/C2I659362.2023.10431047</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186509969&amp;doi=10.1109%2FC2I659362.2023.10431047&amp;partnerID=40&amp;md5=f70dc4c8b5fb7ec118a40fda30e2f56f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186509969&amp;doi=10.1109%2fC2I659362.2023.10431047&amp;partnerID=40&amp;md5=f70dc4c8b5fb7ec118a40fda30e2f56f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032732-8 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 Rappai S., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; Gobi R., Department of Computer Science, Christ (Deemed to be University), Bangalore, India