1 citations · 1 across the 4 of their papers we have counts for
4 papers
Cross Modal Distillation for Flood Extent Mapping
Shubhika Garg, Ben Feinstein, Shahar Timnat +4
The increasing intensity and frequency of floods is one of the many consequences of our changing climate. In this work, we explore ML techniques that improve the flood detection mo…
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal +28
The operational flood forecasting system by Google was developed to provide accurate real-time flood warnings to agencies and the public, with a focus on riverine floods in large,…
Vertex Reconstructing Neural Network at the ZEUS Central Tracking Detector
Gideon Dror, Erez Etzion
An unconventional solution for finding the location of event creation is presented. It is based on two feed-forward neural networks with fixed architecture, whose parameters are ch…
Momentum Reconstruction and Triggering in the TALAS Detector
Gideon Dror, Erez Etzion
A neural network solution for a complicated experimental High Energy Physics problem is described. The method is used to reconstruct the momentum and charge of muons produced in co…