Phys.org

Comparing machine learning models for earthquake detection

Machine learning is transforming data-heavy fields across the sciences, and seismology is no exception. Several machine learning methods have emerged for earthquake detection, phase identification, ...
Nature

Intelligent earthquake prediction using animal vocal behavior analysis based on machine learning and deep learning approaches

Earthquakes are natural calamities that are destructive and result in the loss of lives and economic losses globally. It is vital to identify earthquakes at an early stage to reduce the damage caused ...
Phys.org

Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
Nature

Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models

Earthquake-inducedliquefaction of soils poses a serious georisk in geotechnical designs, construction and the application of geotechnical structures around the world. In this study, the applicability ...
Ars Technica

“Like putting on glasses for the first time”—how AI improves earthquake detection

On January 1, 2008, at 1:59 am in Calipatria, California, an earthquake happened. You haven’t heard of this earthquake; even if you had been living in Calipatria, you wouldn’t have felt anything. It ...