8 citations · 17 across the 3 of their papers we have counts for
4 papers
Detecting local earthquakes via fiber-optic cables in telecommunication conduits under Stanford University campus using deep learning
Fantine Huot, Robert G. Clapp, Biondo L. Biondi
With fiber-optic seismic acquisition development, continuous dense seismic monitoring is becoming increasingly more accessible. Repurposing fiber cables in telecommunication condui…
Detection and characterization of microseismic events from fiber-optic DAS data using deep learning
Fantine Huot, Ariel Lellouch, Paige Given +5
Microseismic analysis is a valuable tool for fracture characterization in the earth's subsurface. As distributed acoustic sensing (DAS) fibers are deployed at depth inside wells, t…
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Fantine Huot, R. Lily Hu, Matthias Ihme +6
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness. We create a data set by aggregating nearly…
High-resolution imaging on TPUs
Fantine Huot, Yi-Fan Chen, Robert Clapp +2
The rapid evolution of artificial intelligence (AI) is leading to a new generation of hardware accelerators optimized for deep learning. Some of the designs of these accelerators a…