Feature extraction for exoplanet detection
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41060-024-00552-7.pdf
Reference60 articles.
1. Priyadarshini, I., Puri, V.: A convolutional neural network (cnn) based ensemble model for exoplanet detection. Earth Sci. Inf. 14(6), 735–747 (2021). https://doi.org/10.1007/s12145-021-00579-5. (ISSN 1865-0473.)
2. Jara-Maldonado, M., Alarcon-Aquino, V., Rosas-Romero, R., Starostenko, O., Ramirez-Cortes, J.M.: Transiting exoplanet discovery using machine learning techniques: a survey. Earth Sci. Inf. 13(9), 573–600 (2020). https://doi.org/10.1007/s12145-020-00464-7. (ISSN 1865-0473)
3. Tyagi, N., Arora, P., Chaudhary, R., Bhardwaj, J.: Exoplanet hunting using machine learning. Emerg. Technol. Data Mining Inf. Secur. Proc. IEMIS 2022 1, 687–701 (2023). https://doi.org/10.1007/978-981-19-4193-1_67
4. Bahel, V., Gaikwad, M.: A study of light intensity of stars for exoplanet detection using machine learning. In 2022 IEEE Region 10 Symposium (TENSYMP), 7, 1–5 (2022). https://doi.org/10.1109/TENSYMP54529.2022.9864366. (ISBN 978-1-6654-6658 ,IEEE)
5. Michele, J., Brian, D.: Mission overview, (2018). URL https://www.nasa.gov/mission_pages/kepler/overview/index.html. Accessed on 02 Feb 2023
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