Browsing by Author "M. El-Sedfy, S."

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    Detecting Asteroids and Comets using Machine Learning and Deep Learning
    (October university for modern sciences and Arts MSA, 2023) Khalil Ibrahim, Mohamed; Said, M.; M. El-Sedfy, S.; Khaled, M.; Ibrahim, A.; Abdellah, N. N. Khaled
    Asteroids and comets are potentially hazardous objects that may make close approaches and enter into Earth's orbit. Detecting and tracking asteroids and comets is a global challenge. Machine learning and deep learning are powerful tools that can be used to observe such hazardous objects early to protect our planet from any future impact. In this paper, we attempt to present a concise review on using machine learning and deep learning in tracking asteroids and comets.