This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…
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Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…
Several test suites have been developed to test the statistical properties of random numbers generated from pseudotrue random number generators. Some of these are Crypt-X, Diehard, FIPS 140, NIST 800-22 AIS31 test suites. In this study, web based application o…