Consider the problem of reducing the time needed by healthcare professio...
Ordinary and partial differential equations (DE) are used extensively in...
The eco-toll estimation problem quantifies the expected environmental co...
Spatiotemporal data mining aims to discover interesting, useful but
non-...
Given aggregated mobile device data, the goal is to understand the impac...
Point set classification aims to build a representation learning model t...
Given Spatial Variability Aware Neural Networks (SVANNs), the goal is to...
Given an on-board diagnostics (OBD) dataset and a physics-based emission...
Mapping of spatial hotspots, i.e., regions with significantly higher rat...
Strategic, sustained Federal investments in intelligent infrastructure w...
Spatial variability has been observed in many geo-phenomena including
cl...
Adversarial examples are firstly investigated in the area of computer vi...
Increasing the fuel economy of hybrid electric vehicles (HEVs) and exten...
Data science models, although successful in a number of commercial domai...
A wide variety of smartphone applications today rely on third-party
adve...