Results 261 to 270 of about 524,430 (317)

Super-Resolution Parameter Estimation Using Machine Learning-Assisted Spatial Mode Demultiplexing. [PDF]

Sensors (Basel)
Gozzard DR, Wallis JS, Frost AM, Collier JJ, Maron N, Dix-Matthews BP, Vinsen K.   +6 more
europepmc   +1 more source

Advanced modeling and parameter estimation of PEM fuel cells using the g-function and self-adaptive differential evolution algorithm. [PDF]

Sci Rep
Ćalasan M, Vujošević S, Micev M, Aleem SHEA, Azzopardi B.   +4 more
europepmc   +1 more source

Redefining Parameter Estimation and Covariate Selection via Variational Autoencoders: One Run Is All You Need. [PDF]

CPT Pharmacometrics Syst Pharmacol
Rohleff J, Bachmann F, Nahum U, Bräm D, Steffens B, Pfister M, Koch G, Schropp J.   +7 more
europepmc   +1 more source

Classification, parameter estimation and state estimation an engineering approach using MATLAB

, 2017
Lei, Bangjun 1973-, Ming, Feng 1957-, Heijden, Ferdinand van der, Ridder, Dick de 1971-, Xu, Guangzhu 1979-, Tax, David M. 1973-, Zou, Yaobing 1978-   +6 more
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Estimation of selected parameters

Computational Statistics & Data Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jia-Chiun Pan, Yufen Huang, J. T. Gene Hwang   +2 more
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Incident parameter estimation

2013 European Control Conference (ECC), 2013
The paper proposes a sampled data based estimation methodology to reconstruct local incident parameter of the macroscopic Incident Traffic Flow (ITF) models. The key idea in ITF models is to dynamically relax the traffic mean speed to the traffic equilibrium one based of an time and space varying incident term. First, the analysis of incident corrupted
Azita Dabiri, Balázs Kulcsár
openaire   +1 more source

Robustness in parameter estimation

IEEE Transactions on Information Theory, 1977
A constructive approach to robust parameter estimation that carries over naturally to the nonparametric estimation is presented. Vagueness in previous notions of "robustness" has prevented such a connection from being made. To eliminate vagueness, robustness is defined in a precise mathematical way that leads to isolation of constructive analytical ...
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On the estimation of the general parameter

Computational Statistics & Data Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthew Stearns, Sarjinder Singh
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Identifiability and Parameter Estimation

Journal of Parenteral and Enteral Nutrition, 1991
In experiments on biological systems one often cannot measure all state variables (compartments). Given a particular experiment of that type, a basic kinetic parameter may have no effect on the observations; such a parameter is an insensible parameter for that experiment. A parameter may influence the observations and not be uniquely determinable; such
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Parameter estimation: local identifiability of parameters

American Journal of Physiology-Endocrinology and Metabolism, 1990
For biological systems one often cannot set up experiments to measure all of the state variables. If only a subset of the state variables can be measured, it is possible that some of the system parameters cannot influence the measured state variables or that they do so in combinations that do not define the parameters' effects separately.
J A, Jacquez, T, Perry
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