In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
the problem of locating services in a given context requires a methematical abstraction so that its complexity can be managed by means of an iterative search through context simul...
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
— In sensor networks, MAC protocols based on Time Division Multiple Access (TDMA) with wakeup and sleep periods have attracted considerable interest because of their low power co...
In this paper, we present new results in performance analysis of super-resolution (SR) image reconstruction. We investigate bounds on the improvement in resolution that can be ach...