Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mykhaylo, Zayats"'
Publikováno v:
Automatica. 153:111043
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8eeff00337024a9fe7549dd1d1d8090
https://doi.org/10.1016/j.automatica.2023.111043
https://doi.org/10.1016/j.automatica.2023.111043
We propose a new design of a neural network for solving a zero shot super resolution problem for turbulent flows. We embed Luenberger-type observer into the network's architecture to inform the network of the physics of the process, and to provide er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b8b36e2d7d12055945d35eae43c2429
http://arxiv.org/abs/2204.07413
http://arxiv.org/abs/2204.07413
Autor:
Jonathan P, Epperlein, Mykhaylo, Zayats, Seshu, Tirupathi, Sergiy, Zhuk, Tigran, Tchrakian, Pol, Mac Aonghusa, Donal F, O'Shea, Niall P, Hardy, Jeffrey, Dalli, Ronan A, Cahill
Publikováno v:
AMIA Annu Symp Proc
The wide availability of near infrared light sources in interventional medical imaging stacks enables non-invasive quantification of perfusion by using fluorescent dyes, typically Indocyanine Green (ICG). Due to their often leaky and chaotic vasculat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::33dae9598397fbe6124944afcbd07bb4
https://pubmed.ncbi.nlm.nih.gov/35308965
https://pubmed.ncbi.nlm.nih.gov/35308965
Autor:
Shayan Shafiee, Jaidip Jagtap, Mykhaylo Zayats, Jonathan Epperlein, Anjishnu Banerjee, Aron Geurts, Michael Flister, Sergiy Zhuk, Amit Joshi
Publikováno v:
Cancers
Volume 15
Issue 5
Pages: 1460
Volume 15
Issue 5
Pages: 1460
Delta like canonical notch ligand 4 (Dll4) expression levels in tumors are known to affect the efficacy of cancer therapies. This study aimed to develop a model to predict Dll4 expression levels in tumors using dynamic enhanced near-infrared (NIR) im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a19bdc8c27ce6fef43cff357a55778
https://doi.org/10.3390/cancers15051460
https://doi.org/10.3390/cancers15051460
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c8a7594f47eef0fd7561048875fa5d
https://doi.org/10.1109/cdc45484.2021.9683275
https://doi.org/10.1109/cdc45484.2021.9683275
Publikováno v:
Journal of Computational Physics
This paper presents a new iterative state estimation algorithm for advection dominated flows with non-Gaussian uncertainty description of \(L^\infty\)-type: uncertain initial condition and model error are assumed to be pointwise bounded in space and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ff2934dcd39457b1ef0c8d6f2524d6
https://doi.org/10.1016/j.jcp.2018.12.042
https://doi.org/10.1016/j.jcp.2018.12.042
Publikováno v:
CDC
Interface control is an important area in applications of Domain Decomposition (DD) for linear advection-diffusion equations, since it attempts to minimize the errors committed by DD methods. In this work a localised control and estimation strategy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb35b79850ff273e5bb61435675fda98
https://doi.org/10.1109/cdc.2015.7402241
https://doi.org/10.1109/cdc.2015.7402241
Publikováno v:
ECC
In this work a novel strategy that combines Domain Decomposition, Differential Algebraic Equations (DAE) and Minimax Estimation is created to contruct a numerical solution for a linear non stationary advection-diffusion equation. The proposed approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee1f943d4197bd58e2ac847466c1dd0
https://doi.org/10.1109/ecc.2014.6862554
https://doi.org/10.1109/ecc.2014.6862554
Autor:
Shafiee, Shayan1 (AUTHOR), Jagtap, Jaidip2 (AUTHOR), Zayats, Mykhaylo3 (AUTHOR), Epperlein, Jonathan3 (AUTHOR), Banerjee, Anjishnu4 (AUTHOR), Geurts, Aron5 (AUTHOR), Flister, Michael5 (AUTHOR), Zhuk, Sergiy3 (AUTHOR), Joshi, Amit1 (AUTHOR) ajoshi@mcw.edu
Publikováno v:
Cancers. Mar2023, Vol. 15 Issue 5, p1460. 25p.
Publikováno v:
2015 54th IEEE Conference on Decision & Control (CDC); 1/1/2015, p449-454, 6p