In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the...

quality inspection is an indispensable part of modern industrial manufacturing. steel as a major industry requires constant surveillance and supervision through its various stages of production. continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. once the slab is released from the casting unit, th...

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

Introduction & BackgroundSummarising high-dimensional time series data across multiple entities is an increasingly prevalent problem because mass collection has become routine in most domains. We propose a method of automatically summarising data.
 Objectives ApproachSummarization such context both with regard to reduction the observations and large number temporal points. While numero...