Application of machine learning methods to study the relationships between seismicity and geodynamic features of the Dnister Hydropower Complex
This study investigates the seismicity and recent geodynamic features of the Dnister Hydropower Complex in Ukraine, emphasizing the application of machine learning methods to analyze their interrelationships. The complex, situated in a seismically active transitional zone, is influenced by natural t...
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| Date: | 2026 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
S. Subbotin Institute of Geophysics of the NAS of Ukraine
2026
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| Subjects: | |
| Online Access: | https://journals.uran.ua/geofizicheskiy/article/view/350985 |
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| Journal Title: | Geofizicheskiy Zhurnal |