Results 71 to 80 of about 100,154 (263)
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Polyphonic Sound Event Detection Based on Transfer Learning Convolutional Retentive Network
Shuju Caiji Yu ChuliAiming at the problems of limited strong annotation datasets and the sharp degradation of detection performance in real‑world scenarios for polyphonic sound event detection tasks， a method for polyphonic sound event detection based on Transfer learning ...
CHEN Pengfei, XIA Xiuyu
doaj +1 more source
Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation
Fluids, 2018 In this paper, we introduce the evolve-then-filter (EF) regularization method for reduced order modeling of convection-dominated stochastic systems. The standard Galerkin projection reduced order model (G-ROM) yield numerical oscillations in a convection-
Xuping Xie +2 more
doaj +1 more source
Effective Production Funds and Production Functions of Regional Small Business [PDF]
Экономика региона, 2018 The paper is devoted to the development and the new application of the mathematical model of effective capital funds (ECF) formation, which has been offered earlier.
Vladimir Konstantinovich Gorbunov +1 more
doaj +1 more source
Asymptotic behaviour of the minimum bound method for choosing the regularization parameter [PDF]
, 1998 We consider a parameter choice method (called the minimum bound method) for regularization of linear ill-posed problems that was developed by Raus and Gfrerer for the case with continuous, deterministic data.
Lukas, M.A.
core
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Ruggiero, V +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Folia Oeconomica Stetinensia, 2020 Research background: Mass appraisal is a process in which multiple properties are appraised simultaneously, with a uniform approach. One of the tools that can be used in this area are multiple regression models.
Gnat Sebastian
doaj +1 more source
European Journal of Combinatorics, 1988 This paper studies the correspondence between topological hypermaps and algebraic hypermaps. A topological map is a decomposition of a surface into polygonal cells. A topological hypermap is a similar decomposition of an orientable surface with the ``edges'' and ``vertices'' (hyperedges and hypervertices) homeomorphic to closed discs.
David Corn, David Singerman
openaire +3 more sources