Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
AUTOSAR as specified in its current version fosters timing-constraints at application level to support the development of real-time automotive applications. However, the standard...
Abstract— The execution environments For scientific applications have evolved significantly over the years. Vector and parallel architectures have provided significantly faste...
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...