Predicting the Potentially Hazardous Asteroid to Earth Using Machine Learning-Reference-Cited by-同舟云学术

Predicting the Potentially Hazardous Asteroid to Earth Using Machine Learning

Published:2022 Issue: Volume: Page:359-369
ISSN:2524-7565
Container-title:Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems
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Author:

Upender Kaveti,Krishna Tammali Sai,Pothanna N.,Kumar P. V. Siva

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7389-4_34

Reference9 articles.

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2. V. Basu, Prediction of asteroid diameter with the help of multi-layer perceptron regressor (2019). Int. J. Adv. Electron. Comput. Sci., ISSN(p): 2394-2835

3. S. Anish, Hazardous asteroids classification through various machine learning techniques (2020). Int. Res. J. Eng. Technol. 7(3)

4. Z. Mako, F. Szenkovits, G.-M. Edit-Maria, I. Szücs-Csillik, Classification of near earth asteroids with artificial neural network. Studia Univ. Babes-Bolyai. 50, 85–92 (2005)

5. J. Hefele, F. Bortolussi, S. Zwart, Identifying earth-impacting asteroids using an artificial neural network. Astron. Astrophys. 634 (2020).https://doi.org/10.1051/0004-6361/201935983

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