Deep learning harnesses massive parallel floating-point processing to tr...
The Cameras for Allsky Meteor Surveillance (CAMS) project, funded by NAS...
Applying Machine learning to domains like Earth Sciences is impeded by t...
This work aims to produce landslide density estimates using Synthetic
Ap...
Rapid assessment after a natural disaster is key for prioritizing emerge...
With climate change predicted to increase the likelihood of landslide ev...
We present the results of our autonomous racing virtual challenge, based...
A common class of problems in remote sensing is scene classification, a
...
Researchers often spend weeks sifting through decades of unlabeled satel...
Floods wreak havoc throughout the world, causing billions of dollars in
...
Data imbalance is a ubiquitous problem in machine learning. In large sca...
Due to the nature of their pathways, NASA Terra and NASA Aqua satellites...
Future short or long-term space missions require a new generation of
mon...
Modeling and forecasting the solar wind-driven global magnetic field
per...
Traditionally, academic labs conduct open-ended research with the primar...
Research with AI and ML technologies lives in a variety of settings with...
Collecting fully annotated image datasets is challenging and expensive. ...