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Found 5 papers, 3 papers with code
Deep learning based landslide density estimation on SAR data for rapid response
Since such data might not be available during other events or regions, we aimed to produce a landslide density map using only elevation and SAR data to be useful to decision-makers in rapid response scenarios.
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses.
Transformation Importance with Applications to Cosmology
Machine learning lies at the heart of new possibilities for scientific discovery, knowledge generation, and artificial intelligence.
Lensing corrections on galaxy-lensing cross correlations and galaxy-galaxy auto correlations
We find that the relative size of lensing corrections depends on the respective redshift distributions of the lensing sources and galaxies, but that they are generally small for high signal-to-noise correlations.
Cosmology and Nongalactic Astrophysics
Signal inference with unknown response: Calibration-uncertainty renormalized estimator
The calibration of a measurement device is crucial for every scientific experiment, where a signal has to be inferred from data.
