Detecting Asteroids and Comets using Machine Learning and Deep Learning

Document Type : Original Article

Authors

1 GSE department, Faculty of Engineering, October University for Modern Sciences and Arts (MSA), Giza, Egypt

2 GSE Department, Faculty of engineering, MSA University

3 Computer Engineering department, Faculty of engineering, MSA University

4 Engineering MSA University.

5 Mechatronics department, Faculty of engineering, MSA University

6 Mechatronics Engineering department, Faculty of engineering, MSA University

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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MSA Engineering Journal
Volume 2, Issue 2 - Serial Number 6
Special issue for Artificial Intelligence & Sustainable Engineering Conference: A Path to The Future
March 2023
Pages 967-972

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