Time-series data augmentation mitigates the issue of insufficient traini...
Existing federated classification algorithms typically assume the local
...
Human activity recognition (HAR) aims to classify sensory time series in...
Batch reinforcement learning (BRL) is an emerging research area in the R...
The electric power grid is a critical societal resource connecting multi...
A sensor name, typically an alphanumeric string, encodes the key context...