Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Emmanuel Lorin"'
Autor:
Subhendu Paul, Emmanuel Lorin
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We derive a novel model escorted by large scale compartments, based on a set of coupled delay differential equations with extensive delays, in order to estimate the incubation, recovery and decease periods of COVID-19, and more generally any
Externí odkaz:
https://doaj.org/article/de5f1625791b4a47bd714612760d2292
Autor:
Subhendu Paul, Emmanuel Lorin
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract We propose a novel model based on a set of coupled delay differential equations with fourteen delays in order to accurately estimate the incubation period of COVID-19, employing publicly available data of confirmed corona cases. In this goal
Externí odkaz:
https://doaj.org/article/15914ebea23d4f0c98511ed80d9e755e
Autor:
Subhendu Paul, Emmanuel Lorin
We derive a novel hybrid approach, a combination of neural networks and inverse problem, in order to forecast COVID-19 cases, and more generally any infectious disease. For this purpose, we extract a second order nonlinear differential equation for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b33443659c848bdd3defce2cc1bf53
https://doi.org/10.21203/rs.3.rs-2359792/v1
https://doi.org/10.21203/rs.3.rs-2359792/v1
Autor:
Simon Tian, Emmanuel Lorin
Publikováno v:
Mathematics and Computers in Simulation. 182:495-513
This paper is devoted to the study of numerical methods for solving large, sparse or full fractional linear algebraic systems (FLAS). The intent is to provide relevant and fair accuracy and efficiency comparisons of several solvers for this type of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a982e2be4eec79cdc8dfefac45888fc
https://doi.org/10.1016/j.matcom.2020.11.010
https://doi.org/10.1016/j.matcom.2020.11.010
Publikováno v:
Web of Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::106ff39f1fe7de17ee78c728dbd514c1
https://doi.org/10.4310/cms.2021.v19.n3.a1
https://doi.org/10.4310/cms.2021.v19.n3.a1
Autor:
Emmanuel Lorin
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:1035-1059
The introduction in 2015 of Residual Neural Networks (RNN) and ResNET allowed for outstanding improvements of the performance of learning algorithms for evolution problems containing a “large” number of layers. Continuous-depth RNN-like models ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bac1681396d91435a7a09a6cff6e15b
https://doi.org/10.1007/s10472-020-09702-6
https://doi.org/10.1007/s10472-020-09702-6
Autor:
Xavier Antoine, Emmanuel Lorin
Publikováno v:
Applied Numerical Mathematics
Applied Numerical Mathematics, 2022, 182, pp.248-264. ⟨10.1016/j.apnum.2022.07.012⟩
Applied Numerical Mathematics, 2022, 182, pp.248-264. ⟨10.1016/j.apnum.2022.07.012⟩
International audience; This paper is dedicated to the derivation and analysis of a Schwarz waveform relaxation domain decomposition method for solving time-dependent linear/nonlinear space fractional Schrödinger and heat equations. Along with the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2a831bbe723c62d4539674a9a09e6f
https://hal.science/hal-03119456/file/PaperFinaleVersion.pdf
https://hal.science/hal-03119456/file/PaperFinaleVersion.pdf
Autor:
Xavier Antoine, Emmanuel Lorin
Publikováno v:
Multiscale Science and Engineering
Multiscale Science and Engineering, 2022, 4, pp.137-160
Multiscale Science and Engineering, 2022, 4, pp.137-160
International audience; This paper is devoted to the numerical computation of fractional linear systems. The proposed approach is based on an efficient computation of Cauchy integrals allowing to estimate the real power of a (sparse) matrix A. A firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66a8dd34dcf64b11f4d80f829cf228f4
https://hal.science/hal-02340820
https://hal.science/hal-02340820
Autor:
Emmanuel Lorin, Xu Yang
Publikováno v:
Journal of Computational Physics. 473:111657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe11f5fff302dcd4027764d187e48da
https://doi.org/10.1016/j.jcp.2022.111657
https://doi.org/10.1016/j.jcp.2022.111657
Autor:
Emmanuel Lorin, Subhendu Paul
In this article, we develop an algorithm and a computational code to extract, analyze and compress the relevant information from the publicly available database of Canadian COVID-19 patients. We digitize the symptoms, that is, we assign a label/code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4ed2a26afecbfd7de810b3fc7c76f4
https://doi.org/10.1101/2021.11.08.21266091
https://doi.org/10.1101/2021.11.08.21266091