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Researchers are using data gathered before a deadly 2017 landslide in Greenland to show that deep learning may help predict seismic events such as earthquakes and volcanic eruptions.The tsunami result...
Self-organization of spatio-temporal earthquake clusters
Self-organization spatio-temporal earthquake clusters
2009/11/12
Cellular automaton versions of the Burridge-Knopoff model have been shown to reproduce the power law distribution of event sizes; that is, the Gutenberg-Richter law. However, they have failed to repro...
This paper applies the Hamiltonian Approach (HA) to two-dimensional motions of incompressible fluid in curvi-linear coordinates, in particular on a sphere. The HA has been used to formulate governing ...
Nonlinear multidimensional scaling and visualization of earthquake clusters over space,time and feature space
Nonlinear multidimensional scaling visualization of earthquake clusters time and feature space
2009/11/9
We present a novel technique based on a multi-resolutional clustering and nonlinear multi-dimensional scaling of earthquake patterns to investigate observed and synthetic seismic catalogs. The observe...