Open AccessTracking Comets and Asteroids Using Machine Learning and Deep Learning: A Review
Author(s) -
Mohamed Khalil,
Mohd Nihra Haruzuan Mohamad Said,
Ahmed K. Ibrahim,
Mohamed Gamal,
M. A. Mobarak
Publication year - 2021
Publication title -
international journal of advanced astronomy
Language(s) - English
Resource type - Journals
ISSN - 2312-7414
DOI - 10.14419/ijaa.v9i1.31466
Subject(s) - asteroid , deep learning , artificial intelligence , computer science , astrobiology , tracking (education) , near earth object , physics , psychology , pedagogy
Comets and asteroids are considered as very dangerous objects to Earth. Machine Learning and Deep Learning tools can be used to identify and track such hazardous objects early enough prior to impact. Preparation strategies require several years, so the early detection of such hazardous objects is very crucial aspect. In this paper, the importance of using Machine Learning and Deep Learning to identify and detect asteroids and comets is discussed briefly.