Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
In this paper, a two-dimensional airfoil shape optimisation problem is investigated using CFD within a grid computing environment (GCE) implemented in Matlab. The feature-based par...
Wenbin Song, Andy J. Keane, M. Hakki Eres, Graeme ...
A new methodology is presented in this paper for resource management in a metacomputing environment using a hierarchy of homogeneous agents that has the capability of service disco...
Memory-intensive applications often suffer from the poor performance of disk swapping when memory is inadequate. Remote memory sharing schemes, which provide a remote memory that ...
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...