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At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
We also use our model to further explore landslide hazard for the same return periods under different climate change scenarios up to the end of the century.
Deep graphical regression for jointly moderate and extreme Australian wildfires
Recent wildfires in Australia have led to considerable economic loss and property destruction, and there is increasing concern that climate change may exacerbate their intensity, duration, and frequency.
An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras
In this work, we propose a system based on the surround-view camera architecture to detect, localize, and automatically align the vehicle with the inductive chargepad.
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