Discussing curvature flows and their applications.
arXiv research
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Predicting ambulance demand accurately at a fine resolution in time and space (e.g., every hour and 1 km) is critical for staff / fleet management and dynamic deployment. There are several challenges: though the dataset is typically large-scale, demand per time period and locality is almost always zero. The demand …
Survey of open problems linking integrable systems and Nijenhuis geometry.
A new house price prediction model using location data and multi-task learning.
Deep Huber QRNs predict Huber quantiles for house prices.
Deep learning model predicts wildfire spread in Australia.
Generative adversarial networks transform streetscape images to improve health and wellbeing.