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Published in 2017 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2017.06.098
Abstract: Abstract This work introduces an extension of the semi-analytical reduced model presented in Rios Rodriguez et al. (2016), with the aim of analyzing the thermo-fluid dynamic behavior of a power transformer radiator working in ONAF…
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Keywords:
mode;
working onaf;
power;
radiator ... See more keywords
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Published in 2021 at "Combustion and Flame"
DOI: 10.1016/j.combustflame.2020.11.036
Abstract: Abstract The present study addresses the title question by taking a detailed mechanism of a concrete combustion system, syngas ignition, deriving from it three reduced models with different levels of accuracy, and comparing propagation of…
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Keywords:
reproduce uncertainty;
uncertainty;
model reproduce;
uncertainty original ... See more keywords
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Published in 2020 at "Physical Review D"
DOI: 10.1103/physrevd.102.106010
Abstract: Quantum-reduced loop gravity is a model of loop quantum gravity, which - from the technical point of view - is characterized by the remarkably simple form of its basic operators. In this article we examine…
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Keywords:
reduced model;
loop quantum;
quantum gravity;
quantum reduced ... See more keywords
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Published in 2018 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2747763
Abstract: We consider a network-preserved model of power networks with proper algebraic constraints resulting from constant power loads. Both for the linear and the nonlinear differential algebraic model of the network, we derive explicit reduced models…
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Keywords:
power loads;
model electrical;
power;
novel reduced ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3133836
Abstract: Because of the robustness and sparsity performance of least absolute deviation (LAD or l₁) optimization, developing effective solution methods becomes an important topic. Recurrent neural networks (RNNs) are reported to be capable of effectively solving…
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Keywords:
reduced model;
neural networks;
norm optimization;
constrained norm ... See more keywords
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Published in 2018 at "Journal of The Electrochemical Society"
DOI: 10.1149/2.0651807jes
Abstract: We present a reduced order model for a lithium ion battery in which Pade approximants are used to simplify complex, transcendental, transfer functions associated with the linearized, pseudo 2-dimensional (P2D) electrochemical model of the battery.…
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Keywords:
model;
reduced model;
model lithium;
lithium ion ... See more keywords
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Published in 2022 at "Mathematics and Mechanics of Solids"
DOI: 10.1177/10812865221094507
Abstract: A novel reduced model is constructed for a linearized anisotropic rod with doubly symmetric cross-section. The derivation starts from the Taylor expansion of the displacement vector and the stress tensor. The goal is to establish…
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Keywords:
reduced model;
linearized anisotropic;
anisotropic rod;
model ... See more keywords
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Published in 2017 at "Journal of Electrical Bioimpedance"
DOI: 10.5617/jeb.4826
Abstract: Abstract A mechanistic mathematical model for electrical impedance spectroscopy (EIS) measurements of human skin is analyzed, leading to a reduced model and approximate solutions. In essence, the model considers a complex-valued Laplace equation in the…
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Keywords:
bioimpedance;
mechanistic model;
skin;
analysis mechanistic ... See more keywords