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;

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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.

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Keywords

Asteroids, Comets, Machine Learning, Deep learning, MSA University, October University of Modern Sciences And Arts

Citation

Faculty of Engineering