Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

Researchers used machine learning to reanalyze Yellowstone's historical earthquake data, revealing that humans may have ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

One of the most seismically active networks of volcanoes was found beneath the popular tourist site, increasing the ...

The seismic signature of a fireball meteoroid event can be used to tell whether the fireball fragmented or remained intact as ...

Enhancing weak seismic signals in seismic data processing with a low signal-to-noise ratio (SNR) is a critical task, and it is imperative to attenuate random noise without damaging effective signals.

From the observed seismic data, the estimation of elastic parameters and lithofacies of subsurface layers with seismic amplitude variation with offset (AVO) inversion play an important role in ...