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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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Bibliographic Details
Date:	2026
Keywords:	keywords
Main Authors:	Brusak, Ivan, Haidus, Oleg, Kuplovskyi, Bohdan
Format:	Article
Language:	English
Published:	S. Subbotin Institute of Geophysics of the NAS of Ukraine 2026
Subjects:	Seismicity recent geodynamics reservoir-triggered seismicity water level changes Dnister Hydro Power Complex machine learning
Online Access:	https://journals.uran.ua/geofizicheskiy/article/view/350985
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Journal Title:	Geofizicheskiy Zhurnal

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Geofizicheskiy Zhurnal

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