Embedded systems must be cost-effective. This imposes strict requirements on the resource consumption of their applications. It is therefore desirable to be able to determine the ...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Software components are now widely used in the development of systems. However, incompatibilities between their behavioural interfaces may make their composition impossible. The o...
Self-adaptive component-based architectures provide methods and mechanisms to support the dynamic adaptation of their structure under evolving execution context. Dynamic adaptation...
Romain Rouvoy, Frank Eliassen, Jacqueline Floch, S...
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...