1 We propose a test resource partitioning and optimization technique for core-based designs. Our technique includes test set selection and test resource floor-planning with the ai...
In this paper, we propose a novel deadlock resolution algorithm. In the presence of global deadlocks in a multidatabase system, this algorithm always selects an optimal set of vic...
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...