Results 151 to 160 of about 133,676 (303)
Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo +2 more
wiley +1 more source
Convergence properties of dynamic mode decomposition for analytic interval maps
Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source
Dimer models and conformal structures
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala +3 more
wiley +1 more source
Relative asymptotics for polynomials orthogonal with respect to a discrete Sobolev inner product [PDF]
G. López Lagomasino +2 more
openalex +1 more source
An Ecological Definition and Objective Threshold for Differentiating Small Fragments
Many ecological phenomena vary with fragment size. To quantify the impacts of small fragments on ecological pattern and process, one must differentiate them, but there is no agreed way to achieve this. We present an objective definition and method to identify a threshold size for small fragments that requires minimal data and can be readily calculated ...
David C. Deane +2 more
wiley +1 more source
A discretized Fourier orthogonal expansion in orthogonal polynomials on a cylinder
We study the convergence of a discretized Fourier orthogonal expansion in orthogonal polynomials on $B^2 \times [-1,1]$, where $B^2$ is the closed unit disk in $\RR^2$. The discretized expansion uses a finite set of Radon projections and provides an algorithm for reconstructing three dimensional images in computed tomography.
openaire +3 more sources
ABSTRACT The heat equation is often used to inpaint dropped data in inpainting‐based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the computation of the solution of the heat equation at large times.
Volker Grimm, Kevin Liang
wiley +1 more source
Two-Variable Wilson Polynomials and the Generic Superintegrable System on the 3-Sphere
We show that the symmetry operators for the quantum superintegrable system on the 3-sphere with generic 4-parameter potential form a closed quadratic algebra with 6 linearly independent generators that closes at order 6 (as differential operators ...
Ernie G. Kalnins +2 more
doaj +1 more source
A tool to model ensemble‐based atomic quantum memory experiments using the quantum channel formalism is presented, incorporating realistic loss and noise effects. It provides a digital twin of state‐of‐the‐art memories and demonstrates its applicability through a simulation of a memory‐assisted quantum token protocol. The framework is easily extendable
Elizabeth Jane Robertson +3 more
wiley +1 more source
Asymptotics of Discrete $q$-Freud $\mathrm{II}$ orthogonal polynomials from the $q$-Riemann Hilbert Problem [PDF]
Nalini Joshi, Tomas Lasic Latimer
openalex +1 more source

