A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
—We propose to use multiscale entropy analysis in characterisation of network traffic and spectrum usage. We show that with such analysis one can quantify complexity and predict...
As the speed gap between CPU and I/O is getting wider and wider, I/O latency plays a more important role to the overall system performance than it used to be. Prefetching consecut...
Tsozen Yeh, Joseph Arul, Kuo-Hsin Tien, I-Fan Chen...
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...