Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
Journal of Intelligent Medicine, EarlyView.Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He +11 more
wiley +1 more source
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method [PDF]
, 2021 Guhyun Kim, Doo Seok Jeong
openalex +1 more source
Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source
Efficient First‐Principles Inverse Design of Nanolasers
Laser &Photonics Reviews, EarlyView.This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source
Bayesian Analysis of Spatial Probit Models in Wheat Waste Management Adoption [PDF]
International Journal of Agricultural Management and Development, 2019 The purpose of this study was to identify factors influencing the adoption of wheat waste management by wheat farmers. The method used in this study using the spatial Probit models and Bayesian model was used to estimate the model.
Ahmadreza Ommani +1 more
doaj
Mathematical Methods in the Applied Sciences, EarlyView.A highly accurate numerical method is given for the solution of boundary value problem of generalized Bagley‐Torvik (BgT) equation with Caputo derivative of order 0<β<2$$ 0<\beta <2 $$ by using the collocation‐shooting method (C‐SM). The collocation solution is constructed in the space Sm+1(1)$$ {S}_{m+1}^{(1)} $$ as piecewise polynomials of degree at ...
Suzan Cival Buranay +2 more
wiley +1 more source
A Robust Choice of the Lagrange Multiplier in the SQP Newton Method
, 1994 We study the choice of the Lagrange multipliers in the successive quadratic programming method (SQP) for equality constrained optimization. It is known that the augmented Lagrangian SQP-Newton method depends on the penalty parameter only through the ...
Cores, Debora, Tapia, R.A.
core
Weak Solutions for a Class of Nonlocal Singular Problems Over the Nehari Manifold
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In this paper, we consider a nonlocal model of dilatant non‐Newtonian fluid with a Dirichlet boundary condition. By using the Nehari manifold and fibering map methods, we obtain the existence of at least two weak solutions, with sign information.
Zhenfeng Zhang +2 more
wiley +1 more source
Iteration-complexity of an inner accelerated inexact proximal augmented Lagrangian method based on the classical Lagrangian function and a full Lagrange multiplier update [PDF]
, 2020 Jefferson G. Melo +2 more
openalex
Lagrange multiplier method implementations for two-dimensional contact problems
, 2015 : The two-dimensional elastic contact problem is considered. Finite element method with bilinear shape functions are used. The Lagrange multiplier method for contact conditions implementation is used in three ways: node-to-surface method ...
Rodin A. S. http://library.keldysh.ru/author_page.asp?aid=3183 +3 more
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