Machine Learning Approaches for Classification and Diameter Prediction of Asteroids-Reference-Cited by-同舟云学术

Machine Learning Approaches for Classification and Diameter Prediction of Asteroids

Published:2023 Issue: Volume: Page:43-55
ISSN:2730-6437
Container-title:Proceedings of International Conference on Information and Communication Technology for Development
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Author:

Hossain Mir Sakhawat,Zabed Md. Akib

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7528-8_4

Reference14 articles.

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2. Carruba V, Aljbaae S, Lucchini A (2019) Machine-learning identification of asteroid groups. Month Not Roy Astron Soc 488(1):1377–1386

3. Davies JK, Eaton N, Green SF, McCheyne RS, Meadows AJ (1982) The classification of asteroids. Vistas Astron 26:243–251

4. DeMeo FE, Alexander CM, Walsh KJ, Chapman CR, Binzel RP (2015) The compositional structure of the asteroid belt. University of Arizona Press

5. Elvis M, Allen L, Christensen E, DeMeo F, Evans I, DePonte Evans J, Galache J, Konidaris N, Najita J, Spahr T (2013) Linnaeus: boosting near earth asteroid characterization rates. Asteroids Comets Meteors 45:208–224

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