Physical Properties of Near-Earth Objects
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University of Arizona Press
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparison of artificial neural networks and multiple linear regression model in the prediction of near-earth objects minimum distance to the earth;i-manager's Journal on Artificial Intelligence & Machine Learning;2024
2. Physical properties of NEOs derived from their phase curves;Monthly Notices of the Royal Astronomical Society;2023-05-16
3. Laboratory modeling in laser-induced plasma to estimate the pressure in bolide wake;Astronomy & Astrophysics;2023-02
4. Asteroids: Small Bodies, Big Potential;Handbook of Space Resources;2023
5. Predicting the Potentially Hazardous Asteroid to Earth Using Machine Learning;Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems;2022
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