Spatial-temporal graph learning has emerged as a promising solution for
...
When users move in a physical space (e.g., an urban space), they would h...
Detecting anomalous trajectories has become an important task in many
lo...
Motion planning is challenging for autonomous systems in multi-obstacle
...
In this work, we introduce an inverse averaging finite element method (I...
Over the past decade, multivariate time series classification (MTSC) has...
Quality control is of vital importance during electronics production. As...
In many real-time applications, the deployment of deep neural networks i...
In recent years, convolutional neural networks (CNNs) have shown great
p...