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Special Topics in Structural Dynamics and Experimental Techniques, Volume 5: Proceedings of the 37th IMAC, a Conference and Exposition on Structural Dynamics 2019

Dervilis, Nikolaos

1, 2019

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Special Topics in Structural Dynamics, Volume 5: Proceedings of the 36th IMAC, a Conference and Exposition on Structural Dynamics 2018

Dervilis, Nikolaos

1st ed. 2019., 2018

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VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems

Scientific reports, 2024-03, Vol.14 (1), p.6091-6091, Article 6091

2024

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Domain-adapted Gaussian mixture models for population-based structural health monitoring

Journal of civil structural health monitoring, 2022-12, Vol.12 (6), p.1343-1353

2022

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Machining centre performance monitoring with calibrated artefact probing

Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2021-08, Vol.235 (10), p.1569-1587

2021

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Impact of blade structural and aerodynamic uncertainties on wind turbine loads

Wind energy (Chichester, England), 2022-06, Vol.25 (6), p.1060-1076

2022

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Comparing approaches for multi-axis kinematic positioning in machine tools

Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2021-08, Vol.235 (10), p.1698-1711

2021

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Special Topics in Structural Dynamics, Volume 6: Proceedings of the 35th IMAC, a Conference and Exposition on Structural Dynamics 2017

Dervilis, Nikolaos

1st ed. 2017 edition., 2017

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A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.185

2022

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Multitask feature selection within structural datasets

Data-Centric Engineering (Online), 2024-01, Vol.5, Article e4

2024

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Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme

Frontiers in energy research, 2023-03, Vol.11

2023

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Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo

Frontiers in built environment, 2017-08, Vol.3

2017

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On generative models as the basis for digital twins

Data-Centric Engineering (Online), 2021-01, Vol.2, Article e11

2021

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Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy

Journal of medical systems, 2020-11, Vol.44 (11), Article 195

2020

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Special Topics in Structural Dynamics & Experimental Techniques.: Proceedings of the 37th Imac, a Conference and Exposition On Structural Dynamics 2019

Dervilis, Nikolaos

1st ed. 2020., 2019

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Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

Journal of engineering mechanics, 2021-10, Vol.147 (10)

2021

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A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring

Frontiers in built environment, 2020-09, Vol.6

2020

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Augmented Reality for Interactive Robot Control

Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 2019, p.11-18

2019

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A time-evolving digital twin tool for engineering dynamics applications

Mechanical systems and signal processing, 2023-04, Vol.188, p.109971, Article 109971

2023

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Damage detection in operational wind turbine blades using a new approach based on machine learning

Renewable energy, 2021-05, Vol.168, p.1249-1264

2021

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On statistic alignment for domain adaptation in structural health monitoring

Structural health monitoring, 2023-05, Vol.22 (3), p.1581-1600

2023

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Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

Mechanical systems and signal processing, 2018-01, Vol.99, p.306-325

2018

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A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm

IEEE transactions on industrial electronics (1982), 2015-10, Vol.62 (10), p.6636-6644

2015

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On the Application of Domain Adaptation in SHM

Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 2020, p.111-122

2020

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Investigating Engineering Data by Probabilistic Measures

Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 2020, p.77-81

2020

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Special Topics in Structural Dynamics and Experimental Techniques, Volume 5: Proceedings of the 37th IMAC, a Conference and Exposition on Structural Dynamics 2019

Special Topics in Structural Dynamics, Volume 5: Proceedings of the 36th IMAC, a Conference and Exposition on Structural Dynamics 2018

VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems

Domain-adapted Gaussian mixture models for population-based structural health monitoring

Machining centre performance monitoring with calibrated artefact probing

Impact of blade structural and aerodynamic uncertainties on wind turbine loads

Comparing approaches for multi-axis kinematic positioning in machine tools

Special Topics in Structural Dynamics, Volume 6: Proceedings of the 35th IMAC, a Conference and Exposition on Structural Dynamics 2017

A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves

Multitask feature selection within structural datasets

Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme

Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo

On generative models as the basis for digital twins

Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy

Special Topics in Structural Dynamics & Experimental Techniques.: Proceedings of the 37th Imac, a Conference and Exposition On Structural Dynamics 2019

Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring

Augmented Reality for Interactive Robot Control

A time-evolving digital twin tool for engineering dynamics applications

Damage detection in operational wind turbine blades using a new approach based on machine learning

On statistic alignment for domain adaptation in structural health monitoring

Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm

On the Application of Domain Adaptation in SHM

Investigating Engineering Data by Probabilistic Measures

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