We present a transistor level power estimator which exploits algorithms for fast circuit simulation to compute the power dissipation of CMOS circuits. The proposed approach uses s...
Premal Buch, Shen Lin, Vijay Nagasamy, Ernest S. K...
Estimating the variance of the sample mean from a stochastic process is essential in assessing the quality of using the sample mean to estimate the population mean which is the fu...
Refactoring is a set of operations to improve maintainability or understandability or other attributes of a software system without changing the external behavior of it, and it is...
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...
This paper proposes a novel method to generate synthetic project cases and add them to a fit dataset for the purpose of improving the performance of analogy-based software effort ...