Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
The number of functional errors escaping design verification and being released into final silicon is growing, due to the increasing complexity and shrinking production schedules ...
Aspects are intended to add needed functionality to a system or to treat concerns of the system by augmenting or changing the existing code in a manner that cross-cuts the usual c...
The unprecedented scale, heterogeneity, and varied usage patterns of grids pose significant technical challenges to any underlying file system that will support them. While grid...
Brian S. White, Andrew S. Grimshaw, Anh Nguyen-Tuo...