Prediction of Potentially Hazardous Asteroids using Deep Learning-Reference-Cited by-同舟云学术

Prediction of Potentially Hazardous Asteroids using Deep Learning

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advanced Research in Computing (ICARC)
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Author:

Ranaweera Rkmt Nishavi¹,Fernando Tgi¹

Affiliation:

1. University of Sri Jayewardenepura,Department of Computer Science,Gangodawila, Nugegoda,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752770/9753716/09753945.pdf?arnumber=9753945

Reference24 articles.

1. Detecting Potentially Hazardous Asteroids using Deep Learning (Part 2);kataria;Medium,0

2. Applying Machine Learning To Asteroid Classification Utilizing Spectroscopically Derived Spectrophotometry;mcintyre;Dissertation Thesis,2019

3. Machine Learning Identification of Asteroid Groups;carruba;Monthly Notices of the Royal Astronomical Society,2019

4. Prediction of Orbital Parameters for Undiscovered Potentially Hazardous Asteroids Using Machine Learning;pasko;Stardust Final Conference Advances in Asteroids and Space Debris Engineering and Science,2018

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