In this paper we present statistical timing driven hMetisbased partitioning. We approach timing driven partitioning from a different perspective: we use the statistical timing cri...
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical ...
In order to investigate the behavior of the solvation, particularly, to quantify the solvent effects on the properties of solutes on a molecular basis, several simulation approach...
Zhifeng Yun, Samuel J. Keasler, Maoyuan Xie, Zhou ...
The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the foll...