نتایج جستجو برای: shrink fitting

تعداد نتایج: 50386  

2012
Iman Elyasi Sadegh Zarmehi

Due to some reasons, observed images are degraded which are mainly caused by noise. Recently image denoising using the wavelet transform has been attracting much attention. Waveletbased approach provides a particularly useful method for image denoising when the preservation of edges in the scene is of importance because the local adaptivity is based explicitly on the values of the wavelet detai...

Journal: :J. UCS 1999
Sigrid Ewert Andries P. J. van der Walt

Iterated Function Systems (IFSs) are among the best-known methods for constructing fractals. The sequence of pictures E0; E1; E2; : : : generated by an IFS fX; f1; f2; : : : ; ftg converges to a unique limit E , which is independent of the choice of starting set E0, but completely determined by the choice of the maps fi. Random context picture grammars (rcpgs) are a method of syntactic picture ...

Journal: :IEEE Transactions on Energy Conversion 2021

Manufacturing processes such as cutting, welding and shrink fitting are known to degrade the magnetic properties of electrical sheet during manufacturing machines. These effects often neglected at design stage lead large errors in simulated measured core losses machine. This article studies comparative impact different on stator a typical industrial motor. Both simulations measurements indicate...

Journal: :Journal of Cell Biology 2003

Journal: :Financial Management 2019

Journal: :The annals of applied statistics 2013
Philip S Boonstra Bhramar Mukherjee Jeremy Mg Taylor

Motivated by the increasing use of and rapid changes in array technologies, we consider the prediction problem of fitting a linear regression relating a continuous outcome Y to a large number of covariates X , eg measurements from current, state-of-the-art technology. For most of the samples, only the outcome Y and surrogate covariates, W , are available. These surrogates may be data from prior...

Journal: :Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 2013
Liewen Jiang Huixia Judy Wang Howard D Bondell

Conventional analysis using quantile regression typically focuses on fitting the regression model at different quantiles separately. However, in situations where the quantile coefficients share some common feature, joint modeling of multiple quantiles to accommodate the commonality often leads to more efficient estimation. One example of common features is that a predictor may have a constant e...

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