Urban land use is key to rational urban planning and management. Traditional land use
classification methods rely heavily on domain experts, which is both expensive and …

High-fidelity characterization and effective monitoring of spatial and spatiotemporal
processes are crucial for high-performance quality control of many manufacturing processes …

Because they will impact so many areas, copyright issues will inevitably arise as 3D printing
expands into the content industry. The problem is that protections based on conventional …

We enrich character animations with secondary soft-tissue Finite Element Method (FEM)
dynamics computed under arbitrary rigged or skeletal motion. Our method optionally …

We present AutoConnect, an automatic method that creates customized, 3D-printable
connectors attaching two physical objects together. Users simply position and orient virtual …

Background The objective of this study was to examine associations of daily averages and
daily variations in ambient relative humidity (RH), temperature, and PM 2.5 on the …

Graph convolution operators bring the advantages of deep learning to a variety of graph and
mesh processing tasks previously deemed out of reach. With their continued success comes …

There is an increasing number of studies to accelerate the TCAD simulation with deep
learning models. Such studies rely on performing a procedure that interpolates an …

Abstract The US National Hurricane Center (NHC) issues advisories every six hours during
the life of a hurricane. These advisories describe the current state of the storm, and its …

We present a neural network-based simulation super-resolution framework that can
efficiently and realistically enhance a facial performance produced by a low-cost, real-time …