Mathematical modeling and simulation of complex physical systems are emerging as key technologies in engineering. Modern approaches to physical system simulation allow users to sp...
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Abstract--Active models have been widely used in image processing applications. A crucial stage that affects the ultimate active model performance is initialization. This paper pro...
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
Abstract— We present a systematic method for model reduction of a class of input-quantized systems in the max-plus algebra. We consider a generalization of the flow shop with ï¬...