The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
— In this paper, we propose an application-driven MAC-layer buffer management framework based on a novel Active Dropping (AD) mechanism for real-time video streaming in IEEE 802....
Abstract. The enormous improvements in the efficiency of model-checking techniques in recent years facilitates their application to ever more complex systems of concurrent and dist...
Maurice H. ter Beek, Mieke Massink, Diego Latella,...