Machine learning helps predict crustal movements in Tibetan Plateau
Machine learning techniques used by scientists for modeling crustal deformations over the Tibetan Plateau have helped forecasting velocity vectors of such movements and enhancing the characterization of plate movements. Typically, a dense network of Continuously Operating Reference Stations (CORS) is employed to continuously monitor crustal deformation. Campaign-mode GPS surveys are often used to densify the […]
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