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 ...
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Testability is one of the most important factors that are considered during design cycle along with reliability, speed, power consumption, cost and other factors important for a c...
Abstract. Although angiography was originally designed as a morphological imaging modality, it is increasingly demanded to retrieve functional information from conventional angiogr...
Yu Deuerling-Zheng, Jan Boese, Stephan Achenbach, ...
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...