We introduce a fast and high performance image subsampling method using feedforward artificial neural networks (FANNs). Our method employs a pattern matching technique to extract local edge information within the image, in order to select the FANN desired output values during the supervised training stage. Subjective and objective evaluations of experimental results using still images and video...

  In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...

• "While the viscosity of blood lias been studied extensively (Copley, Stainsby, and Bayliss-), only a few studies have involved the use of a rotational viscometer. These included Brundage, Wells and Merril, and Wells et al.,-~ the latter applying a Brookfield cone plate viscometer. Neither study was carried out at rates of shear below 10 seer. The present author considered that the region belo...

Abstract The paper considers metrological instrumentation for studying the rheological properties of magnetic fluids. It also presents design a coaxial viscometer. There is analysis factors that affect measurement accuracy. Errors are systematized into 2 main groups: method and instrumental. authors analyse contribution each group to total error. established temperature instability liquid under...

We introduce a fast and high performance image subsampling method using feedforward artiicial neural networks (FANNs). Our method employs a pattern matching technique to extract local edge information within the image, in order to select the FANN desired output values during the supervised training stage. Subjective and objective evaluations of experimental results using still images and video ...