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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 67, 2015 - Issue 6
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Original Articles

A Particle-Filtering Approach for Real-Time Estimation of Thermal Conductivity and Temperature Tracking in Homogeneous Masses

Laura Martín-FernándezDepartamento de Física Aplicada, Universidad de Granada, Granada, Spain
&
Ettore LanzaroneConsiglio Nazionale delle Ricerche (CNR), Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI), Milan, ItalyCorrespondence[email protected]
Pages 507-530 | Received 26 Sep 2014, Accepted 06 Nov 2014, Published online: 02 Apr 2015

Citations (4)

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Marcin Jurek & Matthias Katzfuss. (2021) Multi-Resolution Filters for Massive Spatio-Temporal Data. Journal of Computational and Graphical Statistics 30:4, pages 1095-1110.
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Fabricio S. Mascouto, Diego C. Knupp, Luiz A. S. Abreu, Emerson L. Sanches & Leandro A. Sphaier. (2020) Detection of contact failures employing combination of integral transforms with single-domain formulation, finite differences, and Bayesian inference. Numerical Heat Transfer, Part A: Applications 77:6, pages 599-618.
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Articles from other publishers (2)

Pei Zhang, Chuang Sun & Xin-Lin Xia. (2023) Particle filter algorithms for on-line prediction of transient heat flux of participating medium. International Communications in Heat and Mass Transfer 145, pages 106859.
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E. Lanzarone, S. Pasquali, G. Gilioli & E. Marchesini. (2017) A Bayesian estimation approach for the mortality in a stage-structured demographic model. Journal of Mathematical Biology 75:3, pages 759-779.
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