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 Prediction of Hazardous Asteroids Using Machine Learning Subject The topic of the resource Asteroid Impact; data analysis - minor planets; Machine Learning; Planetary defense; Potentially Hazardous Asteroids; Prediction; Random Forest Classification Description An account of the resource As the need for early detection and mitigation of potential threats from near-Earth objects continues to grow, this study presents a comprehensive approach to predicting hazardous asteroids through the application of machine learning techniques. With the increasing interest in safeguarding our planet from potential impact events, the accurate classification and prediction of hazardous asteroids is of paramount importance. This research leverages a diverse dataset comprising a wide array of asteroid characteristics, including orbital parameters, physical properties, and historical impact data, to train and validate machine learning models. The study employs a combination of feature engineering, data preprocessing, and state-of-the-art machine learning algorithms to assess the risk posed by asteroids in near-Earth space. 2024 IEEE. Creator An entity primarily responsible for making the resource Surekha N.P.; Nanjundan P.; Bashir S. Source A related resource from which the described resource is derived ESIC 2024 - 4th International Conference on Emerging Systems and Intelligent Computing, Proceedings, pp. 169-174. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ESIC60604.2024.10481589" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ESIC60604.2024.10481589</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190992971&amp;doi=10.1109%2FESIC60604.2024.10481589&amp;partnerID=40&amp;md5=3a4c445df8078adc6d2ead14b9dd5358" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190992971&amp;doi=10.1109%2fESIC60604.2024.10481589&amp;partnerID=40&amp;md5=3a4c445df8078adc6d2ead14b9dd5358</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034985-6 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 Surekha N.P., Christ University Pune, Department of Data Science, Lavasa, India; Nanjundan P., Christ University Pune, Department of Data Science, Lavasa, India; Bashir S., Christ University Pune, Department of Data Science, Lavasa, India