Detecting Asteroids and Comets using Machine Learning and Deep Learning
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Date
2023
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
October university for modern sciences and Arts MSA
Series Info
Faculty of Engineering;
Doi
Scientific Journal Rankings
Abstract
Asteroids and comets are potentially hazardous objects that may make close approaches and enter into Earth's orbit. Detecting and tracking asteroids and comets is a global challenge. Machine learning and deep learning are powerful tools that can be used to observe such hazardous objects early to protect our planet from any future impact. In this paper, we attempt to present a concise review on using machine learning and deep learning in tracking asteroids and comets.
Description
Keywords
Asteroids, Comets, Machine Learning, Deep learning, MSA University, October University of Modern Sciences And Arts
Citation
Faculty of Engineering