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 Structural Health Monitoring Using Machine Learning Techniques Subject The topic of the resource Activation function; Artificial Neural Networks; Decision Tree; K-Nearest Neighbor; Logistic Regression; Machine learning algorithms; Random Forest Description An account of the resource Environmental factors, particularly vibrations and temperature can damage the structural health of the building. To avoid heavy damage to the building and to maintain the building's structural health this paper suggests monitoring of building using machine learning algorithms. Machine learning algorithms are used to predict temperature and vibration damages in buildings. Temperature and vibration values are obtained through the grove vibration sensor and NTC thermistor attached to Raspberry Pi 3B plus. In the Raspberry pi, Machine learning algorithms are executed. The activation functions used are Relu, Sigmoid, and Tanh. The experimental results reveal that the Sigmoid activation function gives the best results in terms of metrics with accuracy 94.25, Precision 0.951, Recall 0.912, and F1 score 0.388. The sigmoid function is used in machine learning algorithms for predicting temperature and vibrations. Predicted temperature and vibrations damages are sent to the server and viewed through the user mobile. K- Nearest Neighbor algorithm produced best results with an accuracy rate of 85.50, Precision of 0.922, Sensitivity of 0.830, Specificity of 0.840 and F1 score of 0.873. 2023 IEEE. Creator An entity primarily responsible for making the resource Monisha P.; Arunraja A.; Judeson Antony Kovilpillai J. Source A related resource from which the described resource is derived Proceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023, pp. 275-282. 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/ICPCSN58827.2023.00052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICPCSN58827.2023.00052</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175235164&amp;doi=10.1109%2FICPCSN58827.2023.00052&amp;partnerID=40&amp;md5=280b3f33e5dbc6c6fecaee370cc44dcc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175235164&amp;doi=10.1109%2fICPCSN58827.2023.00052&amp;partnerID=40&amp;md5=280b3f33e5dbc6c6fecaee370cc44dcc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032284-2 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 Monisha P., Sri Ramakrishna Engineering College, Department of Electronics and Communication Engineering, Coimbatore, India; Arunraja A., Christ University (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Bengaluru, India; Judeson Antony Kovilpillai J., Sri Ramakrishna Engineering College, Department of Electronics and Communication Engineering, Coimbatore, India