A Convex Multi-Variable based computational framework for multilayered electro-active polymers
Sign Up to like & getrecommendations! Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.113567
Abstract: Abstract This paper presents a novel computational framework for the in silico analysis of rank-one multilayered electro-active polymer composites exhibiting complex deformation patterns. The work applies the principles of rank-n homogenisation in the context of… read more here.
Keywords: multi variable; computational framework; multilayered electro; electro active ... See more keywords
Design and implementation of multi-variable H∞ robust control for the underground coal gasification project Thar
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.119000
Abstract: Abstract The energy per unit time is an important performance indicator in determining the performance of an underground coal gasification (UCG) site to produce electricity. In literature, model-based strategies are employed by considering UCG as… read more here.
Keywords: multi variable; flow rate; variable robust; model ... See more keywords
Numerical mode decomposition for multimode fiber: From multi-variable optimization to deep learning
Sign Up to like & getrecommendations! Published in 2019 at "Optical Fiber Technology"
DOI: 10.1016/j.yofte.2019.101960
Abstract: Abstract Multimode fibers are gaining a resurgence of interest in both fundamental and applied research in recent years. Thanks to the ability to see the weights and relative phase of the multimode fiber modes, mode… read more here.
Keywords: multi variable; multimode; variable optimization; fiber ... See more keywords
Instability mechanisms of repelling peak solutions in a multi-variable activator-inhibitor system.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0125535
Abstract: We study the linear stability properties of spatially localized single- and multi-peak states generated in a subcritical Turing bifurcation in the Meinhardt model of branching. In one spatial dimension, these states are organized in a… read more here.
Keywords: peak solutions; mechanisms repelling; instability mechanisms; repelling peak ... See more keywords
A general variational approach to constrained null controllability for multi-variable systems and application to switching control
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Control"
DOI: 10.1080/00207179.2019.1694177
Abstract: We consider the problem of null controllability with switching constrained control for the multi-variable system . The study is focused on the canonical saturation constraints on the control specified by for all . The control… read more here.
Keywords: multi variable; control general; control; null controllability ... See more keywords
Multi-variable AUC for sifting complementary features and its biomedical application
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac029
Abstract: Although sifting functional genes has been discussed for years, traditional selection methods tend to be ineffective in capturing potential specific genes. First, typical methods focus on finding features (genes) relevant to class while irrelevant to… read more here.
Keywords: auc; auc sifting; feature; sifting complementary ... See more keywords
Detecting Associations Based on the Multi-Variable Maximum Information Coefficient
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3070925
Abstract: The maximum information coefficient (MIC) is a novel and widely-using measure of association detection in large datasets. The most outstanding feature of MIC is that it has both generality and equability. However, MIC can only… read more here.
Keywords: multi variable; information coefficient; variable maximum; maximum information ... See more keywords
The multi-variable unified family of generalized Apostol-type polynomials
Sign Up to like & getrecommendations! Published in 2020 at "Applicable Analysis and Discrete Mathematics"
DOI: 10.2298/aadm190405015e
Abstract: The aim of this paper is to investigate and give a new family of multi-variable Apostol-type polynomials. This family is related to Apostol-Euler, Apostol-Bernoulli, Apostol-Genocchi and Apostol-laguerre polynomials. Moreover, we derive some implicit summation formulae… read more here.
Keywords: type polynomials; multi variable; variable unified; family ... See more keywords
Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Energies"
DOI: 10.3390/en10101570
Abstract: The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance… read more here.
Keywords: multi variable; design; genetic algorithms; using genetic ... See more keywords
Multiple eulerian integrals with modified multivariable I-function having general arguments
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Interdisciplinary Mathematics"
DOI: 10.47974/jim-1649
Abstract: Many authors have recently provided a number of expressions for a general Eulerian integrals about the multi-variable H-functions. Inspired by these works, we evaluated here a general class of multi-variable Eulerian integrals with modified multi-variable… read more here.
Keywords: function; integrals modified; multiple eulerian; eulerian integrals ... See more keywords
Multi-variable flood damage modelling with limited data using supervised learning approaches
Sign Up to like & getrecommendations! Published in 2017 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-17-1683-2017
Abstract: Abstract. Flood damage assessment is usually done with damage curves only dependent on the water depth. Several recent studies have shown that supervised learning techniques applied to a multi-variable data set can produce significantly better… read more here.
Keywords: multi variable; flood damage; variable flood; damage ... See more keywords