Training a convolutional neural network for exoplanet classification with transit photometry data
Abstract The search for exoplanets aims to identify planets with compositions similar to Earth’s, providing insights into planetary formation and habitability. As a result, efforts to enhance the efficiency of exoplanet research have led to the development of various detection methods, including tra...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98935-8 |
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