Results 71 to 80 of about 55,162 (247)
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Bilinear interpolation of program control in approach problem
The research is supported by Russian Science Foundation, grant no. 19-11-00105, https://rscf.ru/en/project/19-11-00105/.
openaire +2 more sources
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang +4 more
wiley +1 more source
Sharp commutator estimates of all order for Coulomb and Riesz modulated energies
Abstract We prove functional inequalities in any dimension controlling the iterated derivatives along a transport of the Coulomb or super‐Coulomb Riesz modulated energy in terms of the modulated energy itself. This modulated energy was introduced by the second author and collaborators in the study of mean‐field limits and statistical mechanics of ...
Matthew Rosenzweig, Sylvia Serfaty
wiley +1 more source
Bilinear Differential Forms and the Loewner Framework for Rational Interpolation [PDF]
The Loewner approach, based on the factorization of a special-structure matrix derived from data generated by a dynamical system, has been applied successfully to realization theory, generalized interpolation, and model reduction. We examine some connections between such approach and that based on bilinear- and quadratic differential forms arising in ...
Rapisarda, Paolo +1 more
openaire +5 more sources
Bilinear interpolation theorems and applications
Abstract Interpolation of bilinear operators is studied. The celebrated Littlewood mixed norm inequality is used to prove interpolation theorems for bilinear operators defined on couples of c 0 -weighted sequence spaces generated by parameters of quasi-concave functions.
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An optimal factor analysis approach to improve the wavelet-based image resolution enhancement techniques [PDF]
The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields.
Jenkins, Karl W. +3 more
core
A Novel Approach to Real-time Bilinear Interpolation [PDF]
Bilinear interpolation is often used to improve image quality after performing spatial transformation operations such as digital zooming or rotation. In the traditional case where the input coordinates appear in a raster-based fashion, the required pixel values can be obtained from the previous calculation, the frame buffer and a single line cache ...
K.T. Gribbon, Donald G. Bailey
openaire +1 more source
On the Behavior of Two C1 Finite Elements Versus Anisotropic Diffusion
Bi‐cubic Hemite‐Bézier and reduced cubic Hsieh‐Clough‐Tocher finite elements, of class C1, are compared for the solution of a highly anisotropic diffusion equation. They are tested numerically for various ratios of the diffusion coefficients on different meshes, even aligned with the anisotropy.
Blaise Faugeras +3 more
wiley +1 more source
Otsu’s Image Segmentation Algorithm with Memory-Based Fruit Fly Optimization Algorithm
In this paper, the most common pepper noise in grayscale image noise is investigated in depth in the median filtering algorithm, and the improved median filtering algorithm, adaptive switching median filtering algorithm, and adaptive polar median ...
Ruishuai Chai
doaj +1 more source

