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Akademický článek

Learning Interactions in Reaction Diffusion Equations by Neural Networks

Autor: Sichen Chen, Nicolas J-B. Brunel, Xin Yang, Xinping Cui

Publikováno v: Entropy, Vol 25, Iss 3, p 489 (2023)

Partial differential equations are common models in biology for predicting and explaining complex behaviors. Nevertheless, deriving the equations and estimating the corresponding parameters remains challenging from data. In particular, the fine descr

Externí odkaz: https://doaj.org/article/8740942a8e2f4000a9540229084f48a0

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Carotenoid content in mature tomato fruit under soil water deficit: accounting the role of pre-maturing processes through chlorophyll kinetics and cell microscopy

Autor: T. Breniere, A.L. Fanciullino, B. Brunel, P. Laugier, J.-F. Landrier, C. Riva, N. Bertin

Publikováno v: Acta Horticulturae. :1-8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c067bb636583d4d2b75f37df2ecc1e1f
https://doi.org/10.17660/actahortic.2022.1353.1

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Akademický článek

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Akademický článek

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Optimal Control and Additive Perturbations Help in Estimating Ill-Posed and Uncertain Dynamical Systems

Autor: Nicolas J.-B. Brunel, Quentin Clairon

Publikováno v: Journal of the American Statistical Association
Journal of the American Statistical Association, Taylor & Francis, In press, 113 (523), pp.1195-1209. ⟨10.1080/01621459.2017.1319841⟩

Ordinary differential equations (ODE) are routinely calibrated on real data for estimating unknown parameters or for reverse-engineering. Nevertheless, standard statistical techniques can give disappointing results because of the complex relationship

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d8b2072277a96a0cfcb1bb42d8a7c00
https://doi.org/10.1080/01621459.2017.1319841

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Akademický článek

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P2641Renal and cardiovascular benefits of treatment with angiotensin receptor blockers in patients with hypertension and chronic kidney disease: A systematic review and meta-analysis

Autor: M Burnier, L R Ruilope, G B Bader, S D Durg, P B Brunel

Publikováno v: European Heart Journal. 40

Background Blood pressure (BP) control is critical in delaying the progression of chronic kidney disease (CKD), which otherwise results in an increased risk of cardiovascular morbidity and mortality. Angiotensin II receptor blockers (ARBs) or angiote

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84b8e111d2a2c524c156649d787d6064
https://doi.org/10.1093/eurheartj/ehz748.0962

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The Frenet-Serret Framework for Aligning Geometric Curves

Autor: Juhyun Park, Nicolas J.-B. Brunel

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030269791
GSI

Variations of the curves and trajectories in 1D can be analysed efficiently with functional data analysis tools. The main sources of variations in 1D curves have been identified as amplitude and phase variations. Dealing with the latter gives rise to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88c83815fdca7a7d7cc5de16827d9bd6
https://doi.org/10.1007/978-3-030-26980-7_63

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Tracking for parameter and state estimation in possibly misspecified partially observed linear Ordinary Differential Equations

Autor: Quentin Clairon, Nicolas J.-B. Brunel

Publikováno v: Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2019, 199, pp.188-206. ⟨10.1016/j.jspi.2018.06.005⟩

We address the problem of parameter estimation for partially observed linear Ordinary Differential Equations. Estimation from time series with standard estimators can give misleading results because estimation is often ill-posed, or the models are mi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e95fbbf6a43baf79b3c6142e0f39184e
https://hal.archives-ouvertes.fr/hal-03212218

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Humans are able to self-paced constant running accelerations until exhaustion

Autor: Véronique Billat, Thomas Carbillet, Nicolas J.-B. Brunel, Adeline Samson, Stéphane Labbé

Publikováno v: Physica A: Statistical Mechanics and its Applications
Physica A: Statistical Mechanics and its Applications, Elsevier, 2018, 506, pp.290-304. ⟨10.1016/j.physa.2018.04.058⟩
Physica A: Statistical Mechanics and its Applications, 2018, 506, pp.290-304. ⟨10.1016/j.physa.2018.04.058⟩

Although it has been experimentally reported that speed variations is the optimal way of optimizing his pace for achieving a given distance in a minimal time, we still do not know what the optimal speed variations (i.e. accelerations) are. At first,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ff60f9cb87e638961e2b1407c088492
https://hal.archives-ouvertes.fr/hal-01965678

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