bstract: Enabling Reliable and High-Fidelity Data Center Sensing Chieh-Jan Mike Liang† , Jie Liu‡ , Liqian Luo , Andreas Terzis† † Johns Hopkins University ‡ Microsoft Re...
Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas...
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...