Work

Automation of Processing Large Volumes of Seismological Data When Studying Seismicity in the Khuvsgul Region for 2014–2016

Year: 2025

Type: article

Source: Izvestiya Physics of the Solid Earth

DOI: 10.1134/s1069351325700806

Authors: A. A. Emanov, I. F. Eshkunova

Institutions: Russian Academy of Sciences, Geophysical Survey, Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences

Language: English

Topic: Seismology and Earthquake Studies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7124421904

FWCI: 0.427

Cites: 14

Cited by: 1

Related to: