: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
In the present work we describe architectural concepts of the distributed molecular simulation package GridMD. The main purpose of this work is to underline the construction patter...
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...