Articles with "dynamic models" as a keyword



Dynamic Models of Competition Systems Involving Generalized Functional Response

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Published in 2019 at "Differential Equations and Dynamical Systems"

DOI: 10.1007/s12591-017-0398-y

Abstract: In this paper we study the interactions among two species of predators and one single species of prey populations, under a more generalized functional response arising out of the competition. The models presented in this… read more here.

Keywords: dynamic models; models competition; functional response; generalized functional ... See more keywords
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An Implicit Integration Algorithm for Non-smooth Dynamic Models Based on Linear Complementarity Problems

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Published in 2021 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-021-05961-5

Abstract: The non-smooth dynamic model can effectively handle unilateral constraints in multi-body systems, but its complex mathematical definition is difficult to be applied in engineering applications. To reduce the difficulty of this model’s application and to… read more here.

Keywords: dynamic models; time; smooth dynamic; non smooth ... See more keywords

Multivariate sensitivity analysis for dynamic models with both random and random process inputs

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Published in 2020 at "Applied Mathematical Modelling"

DOI: 10.1016/j.apm.2019.12.019

Abstract: Abstract Dynamic models with both random and random process inputs are frequently used in engineering. However, sensitivity analysis (SA) for such models is still a challenging problem. This paper, therefore, proposes a new multivariate SA… read more here.

Keywords: process inputs; dynamic models; models random; random process ... See more keywords

Efficient multivariate sensitivity analysis for dynamic models based on cubature formula

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Published in 2020 at "Engineering Structures"

DOI: 10.1016/j.engstruct.2019.110164

Abstract: Abstract Variance-based sensitivity analysis (SA) has been frequently applied to dynamic models with multivariate output. The generalized sensitivity indices are defined by combining principal components analysis with analysis of variance to synthesize the influence of… read more here.

Keywords: sensitivity; cubature formula; analysis; dynamic models ... See more keywords
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Technological Foundations for Dynamic Models with Endogenous Entry

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Published in 2020 at "European Economic Review"

DOI: 10.1016/j.euroecorev.2020.103517

Abstract: I explore the technological foundations of dynamic entry models A la Bilbiie-Ghironi-Melitz where the endogenous creation of new inputs can generate either neoclassical business cycle dynamics or long run growth. Under a general CRS technology… read more here.

Keywords: foundations dynamic; dynamic models; endogenous entry; technological foundations ... See more keywords

Steady-state and dynamic models of solid oxide fuel cells based on Satin Bowerbird Optimizer

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Published in 2018 at "International Journal of Hydrogen Energy"

DOI: 10.1016/j.ijhydene.2018.06.032

Abstract: Abstract The article suggests an efficient methodology based-on a novel application of an optimization algorithm entitled Satin Bowerbird Optimizer (SBO) to realize the accurate parameters of solid oxide fuel cells (SOFCs). In this work, the… read more here.

Keywords: methodology; satin bowerbird; bowerbird optimizer; dynamic models ... See more keywords

Dynamic Models of Individual Change in Psychotherapy Process Research

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Published in 2017 at "Journal of Consulting and Clinical Psychology"

DOI: 10.1037/ccp0000203

Abstract: Objective: There is a need for rigorous methods to study the mechanisms that lead to individual-level change (i.e., process-outcome research). We argue that panel data (i.e., longitudinal study of a number of individuals) methods have… read more here.

Keywords: research; dynamic models; change; study ... See more keywords

Estimating forest aboveground carbon sink based on landsat time series and its response to climate change

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84258-7

Abstract: Accurately estimating forest carbon sink and exploring their climate-driven mechanisms are critical to achieving carbon neutrality and sustainable development. Fewer studies have used machine learning-based dynamic models to estimate forest carbon sink. The climate-driven mechanisms… read more here.

Keywords: carbon sink; carbon; climate; estimating forest ... See more keywords
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Discussion of assumptions behind the external dynamic models in ship collisions and groundings

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Published in 2018 at "Ships and Offshore Structures"

DOI: 10.1080/17445302.2018.1556234

Abstract: ABSTRACT In the past decades, a prevailing way for the assessment of responses in ship collisions and groundings has been to decouple the problem into two parts: external dynamics and internal mechanics. The external dynamics… read more here.

Keywords: dynamic models; ship collisions; behind external; collision ... See more keywords
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Dynamic Models of Infectious Disease Transmission in Prisons and the General Population

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Published in 2018 at "Epidemiologic Reviews"

DOI: 10.1093/epirev/mxx014

Abstract: Incarcerated populations experience elevated burdens of infectious diseases, which are exacerbated by limited access to prevention measures. Dynamic models are used to assess the spread and control of diseases within correctional facilities and repercussions on… read more here.

Keywords: models infectious; infectious disease; dynamic models; general population ... See more keywords

Global Optimization Approach for Parameter Estimation in Stochastic Dynamic Models of Biosystems.

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Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3225675

Abstract: Mechanistic dynamic models have become an essential tool for understanding biomolecular networks and other biological systems. Biochemical stochasticity can be extremely important in some situations, e.g., at the single-cell level where there is a low… read more here.

Keywords: approach; stochastic dynamic; dynamic models; parameter estimation ... See more keywords