UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Reduced Basis Methods for Partial Differential Equations: An Introduction

1st ed. 2016., 2015

Volltextzugriff (PDF)

Deep learning-based reduced order models in cardiac electrophysiology

PloS one, 2020-10, Vol.15 (10), p.e0239416-e0239416

2020

Volltextzugriff (PDF)

A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations

Mathematics of computation, 2023-03, Vol.92 (340), p.483-524

2023

Volltextzugriff (PDF)

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3001

2023

Volltextzugriff (PDF)

An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.4207

2021

Volltextzugriff (PDF)

Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics

PloS one, 2024-05, Vol.19 (5), p.e0303822-e0303822

2024

Volltextzugriff (PDF)

POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

Computer methods in applied mechanics and engineering, 2022-01, Vol.388, p.114181, Article 114181

2022

Volltextzugriff (PDF)

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

Frontiers in physiology, 2021-09, Vol.12, p.679076-679076

2021

Volltextzugriff (PDF)

Real-Time Simulation of Parameter-Dependent Fluid Flows through Deep Learning-Based Reduced Order Models

Fluids (Basel), 2021-07, Vol.6 (7), p.259

2021

Volltextzugriff (PDF)

Fully convolutional networks for structural health monitoring through multivariate time series classification

Advanced modeling and simulation in engineering sciences, 2020-09, Vol.7 (1), p.1-31, Article 38

2020

Volltextzugriff (PDF)

Mathematical Modelling of the Human Cardiovascular System: Data, Numerical Approximation, Clinical Applications

1, 2019

Volltextzugriff (PDF)

Reduced Basis Isogeometric Methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils

Computer methods in applied mechanics and engineering, 2015-02, Vol.284, p.1147-1180

2015

Volltextzugriff (PDF)

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

Heart rhythm, 2020-10, Vol.17 (10), p.1719-1728

2020

Volltextzugriff (PDF)

A reduced computational and geometrical framework for inverse problems in hemodynamics

International journal for numerical methods in biomedical engineering, 2013-07, Vol.29 (7), p.741-776

2013

Volltextzugriff (PDF)

Model reduction techniques for fast blood flow simulation in parametrized geometries

International journal for numerical methods in biomedical engineering, 2012-06, Vol.28 (6-7), p.604-625

2012

Volltextzugriff (PDF)

Optimal Control of Partial Differential Equations: Analysis, Approximation, and Applications

1st Edition 2021, 2021

Volltextzugriff (PDF)

Learning high-order interactions for polygenic risk prediction

PloS one, 2023-02, Vol.18 (2), p.e0281618-e0281618

2023

Volltextzugriff (PDF)

Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

Mathematics in engineering, 2023-01, Vol.5 (6), p.1-36

2023

Volltextzugriff (PDF)

Fentanyl Sublingual Tablets Versus Subcutaneous Morphine for the Management of Severe Cancer Pain Episodes in Patients Receiving Opioid Treatment: A Double-Blind, Randomized, Noninferiority Trial

Journal of clinical oncology, 2017-03, Vol.35 (7), p.759-765

2017

Volltextzugriff (PDF)

Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

Mathematics in engineering, 2023-01, Vol.5 (2), p.1-38

2023

Volltextzugriff (PDF)

Are the forearm muscles excited equally in different, professional piano players?

PloS one, 2022-03, Vol.17 (3), p.e0265575-e0265575

2022

Volltextzugriff (PDF)

Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation

JACC. Clinical electrophysiology, 2022-05, Vol.8 (5), p.561-577

2022

Volltextzugriff (PDF)

Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning

International journal for numerical methods in biomedical engineering, 2021-06, Vol.37 (6), p.e3450-n/a

2021

Volltextzugriff (PDF)

A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs

Journal of scientific computing, 2021-05, Vol.87 (2), p.61, Article 61

2021

Volltextzugriff (PDF)

Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

Computer methods in applied mechanics and engineering, 2018-10, Vol.340, p.530-558

2018

Volltextzugriff (PDF)

1 – 25 von 586

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(396)
Mit Volltextzugriff
(507)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(7)
... seit 90 Tagen
(14)

Menü

Weitere Dienste

Einstellungen

Reduced Basis Methods for Partial Differential Equations: An Introduction

Deep learning-based reduced order models in cardiac electrophysiology

A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches

An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics

Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics

POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

Real-Time Simulation of Parameter-Dependent Fluid Flows through Deep Learning-Based Reduced Order Models

Fully convolutional networks for structural health monitoring through multivariate time series classification

Mathematical Modelling of the Human Cardiovascular System: Data, Numerical Approximation, Clinical Applications

Reduced Basis Isogeometric Methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

A reduced computational and geometrical framework for inverse problems in hemodynamics

Model reduction techniques for fast blood flow simulation in parametrized geometries

Optimal Control of Partial Differential Equations: Analysis, Approximation, and Applications

Learning high-order interactions for polygenic risk prediction

Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

Fentanyl Sublingual Tablets Versus Subcutaneous Morphine for the Management of Severe Cancer Pain Episodes in Patients Receiving Opioid Treatment: A Double-Blind, Randomized, Noninferiority Trial

Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

Are the forearm muscles excited equally in different, professional piano players?

Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation

Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning

A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs

Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

Suchergebnisse filtern