On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages ——higher spatial resolution can be acquired from the PCA transformation; however, more serious distortion of spectral characteristics can happen as well. While, the àtrous wavelet transformation is able to preserve spatial information; however, the result is lack of high spat...

Swift heavy ion irradiation was carried out to examine the ionization effects on structural changes of δ-Sc 4 Hf 3 O 12 in which oxygen vacancies are regularly arranged. The specimens were irradiated at room temperature with 92 MeV xenon ions fluences ranging from × 10 1 14 /cm 2 and characterized by grazing (glancing) incidence x-ray diffraction, transmission electron microscopy, scanning micr...

Satisficing search algorithms are proposed for adaptively selecting near-best basis and near-best frame decompositions in redundant tree-structured wavelet transforms. Any of a variety of additive or non-additive information cost functions can be used as the decision criterion for comparing and selecting nodes when searching through the tree. The algorithms are applicable to tree-structured tra...

In this paper, undoped TiO2 and Ag-Nd-codoped TiO2 nanocomposites with different molar ratios of dopants were synthesized by the sol-gel method using starch as a natural additive. Structures were investigated by FT-IR and UV–Vis spectroscopy, SEM, and XRD methods. Moreover, the direct band gap was calculated by Tauc's approach. Furthermore, photocatalytic activity of all s...

Individual projection images in Digital Breast Tomosynthesis (DBT) must be acquired with low levels of radiation, which significantly increases image noise. This work investigates the influence of a denoising algorithm and the Anscombe transformation on the reduction of quantum noise in DBT images. The Anscombe transformation is a variance-stabilizing transformation that converts the signal-dep...

In this paper, we consider simultaneous model selection and estimation for the additive index model. The additive index model is a class of structured nonparametric models that can be expressed as additive models of a set of unknown linear transformation of the original predictor variables. We introduce a penalized least squares estimator and discuss how it can be efficiently computed in practi...

Additive manufacturing is heralded as a revolutionary process technology. While it has yet to cause a dramatic transformation of the manufacturing system, there are early signs of how the characteristics of this novel production process can improve resource efficiency and other sustainability aspects. In this paper, we draw on examples from a wide range of products and industries to understand ...