Since its introduction in the early 90s, Sliced Inverse Regression (SIR) methodology has evolved adapting to increasingly complex data sets contexts combining linear dimension reduction with non regression. The assumption of dependence response variable respect only a few combinations covariates makes it appealing for many computational and real application aspects. This work proposes an overvi...

Inverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inv...

This paper considers the classical and inverse calibration estimators and discusses the consequences of departure from normality of errors on their bias and mean squared error properties when the errors in calibration process are small.

By analysis performed on two independent experiments on radionuclide decay rates, we inferred the physical reality of de Broglie waves. The unexpected result of a variation of decay rates of 32Si and 226Ra with Earth-Sun inverse squared distance, clearly related with solar neutrino flux, is accounted here as a physical action of de Broglie empty waves. The highly illusive neutrino could not acc...

Conventional radiographs used for the management of endodontic problems yield limited information because of the two-dimensional nature of images produced, geometric distortion and anatomical noise. This newer review paper seeks to clarify three-dimensional imaging techniques that have been suggested as adjuncts to conventional radiographs. These include tuned aperture computed tomography, magn...

Soil contamination by arsenic and heavy metals is an increasingly severe environmental problem. Efficiently investigation of soil contamination is the premise of soil protection and further the foundation of food security. Visible and near-infrared reflectance spectroscopy (VNIRS) has been widely used in soil science, due to its rapidity and convenience. With different spectrally active soil ch...

groundwater quality assessment and selection of appropriate methods of zoning depends on the region conditions, and data availability. the correct choice is a key milestone and a major step forward in the management of groundwater resources. the aim of this study was to evaluate the quality of groundwater for drinking and irrigation purposes in the west of marivan city, iran. for this purpose, ...

The aim of this study is twofold: on the one hand, to determine how visual space, as assessed by exocentric distance estimates, is related to physical space. On the other hand, to determine the structure of visual space as assessed by exocentric distance estimates. Visual space was measured in three environments: (a) points located in a 2-D frontoparallel plane, covering a range of distances of...

The commonly employed classical linear discriminant rule, based on mean and covariance, are highly sensitive to outliers. Therefore, outlier influence location scale estimation will affect the accuracy of a rule lead high misclassification rates. past studies used Mahalanobis Squared Distance (MSD) alleviate problem. However, covariance shortcoming can still distance computation, causing maskin...

We propose the Wavelet-based Inverse Halftoning via Deconvolution (WInHD) algorithm to perform inverse halftoning of error-diffused halftones. WInHD is motivated by our realization that inverse halftoning can be formulated as a deconvolution problem under Kite et al.’s linear approximation model for error diffusion halftoning. Under the linear model, the error-diffused halftone comprises the or...