Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
In this paper we address the problem of selfish behavior in ad hoc networks. We propose a strategy driven approach which aims at enforcing cooperation between network participant...
Marcin Seredynski, Pascal Bouvry, Mieczyslaw A. Kl...
The global grid model is steadily being uptaken by individuals wishing to trade in grid services. The grid was originally driven by organisations attempting to share high performa...
Model driven development suggests to make models the main artifact in software development. To get executable models in most cases code generation to a "traditional" prog...
Manuel Bork, Leif Geiger, Christian Schneider, Alb...
In this multi-university collaborative research, we will develop a framework for the dynamic data-driven fault diagnosis of wind turbines which aims at making the wind energy a com...
Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi...