145 citations · 325 across the 5 of their papers we have counts for
5 papers
Attention network forecasts time-to-failure in laboratory shear experiments
Hope Jasperson, David C. Bolton, Paul Johnson +3
Rocks under stress deform by creep mechanisms that include formation and slip on small-scale internal cracks. Intragranular cracks and slip along grain contacts release energy as e…
Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness
Nicholas Lubbers, David C. Bolton, Jamaludin Mohd-Yusof +3
Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions.…
Estimating the Physical State of a Laboratory Slow Slipping Fault from Seismic Signals
Claudia Hulbert, Bertrand Rouet-Leduc, Christopher X. Ren +4
Over the last two decades, strain and GPS measurements have shown that slow slip on earthquake faults is a widespread phenomenon. Slow slip is also inferred from correlated small a…
Estimating Fault Friction from Seismic Signals in the Laboratory
Bertrand Rouet-Leduc, Claudia Hulbert, David C. Bolton +5
Nearly all aspects of earthquake rupture are controlled by the friction along the fault that progressively increases with tectonic forcing, but in general cannot be directly measur…
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Yue Wu, Youzuo Lin, Zheng Zhou +3
Automatic event detection from time series signals has wide applications, such as abnormal event detection in video surveillance and event detection in geophysical data. Traditiona…