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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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Bibliographische Detailangaben
Datum:	2026
Hauptverfasser:	Brusak, Ivan, Haidus, Oleg, Kuplovskyi, Bohdan
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	S. Subbotin Institute of Geophysics of the NAS of Ukraine 2026
Schlagworte:	Seismicity recent geodynamics reservoir-triggered seismicity water level changes Dnister Hydro Power Complex machine learning
Online Zugang:	https://journals.uran.ua/geofizicheskiy/article/view/350985
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Geofizicheskiy Zhurnal

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Geofizicheskiy Zhurnal

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