Charilaos Mylonas

发表

A method to reduce model uncertainty by fusing the output from multiple stochastic simulators

Eleni Chatzi, Imad Abdallah, Konstantinos Tatsis, 2020 .

Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets pdf

Eleni Chatzi, Charilaos Mylonas, E. Chatzi, 2020, ArXiv.

Bayesian graph neural networks for strain-based crack localization pdf

George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, 2020, ArXiv.

WINDMIL-RTDT ERC Proof of Concept

Eleni Chatzi, Imad Abdallah, Charilaos Mylonas, 2020 .

Deep Unsupervised Learning for Condition Monitoring and Prediction of High Dimensional Data with Application on Windfarm SCADA Data

Eleni Chatzi, Imad Abdallah, Charilaos Mylonas, 2019, Model Validation and Uncertainty Quantification, Volume 3.

Remaining Useful Life Estimation for Engineered Systems Operating under Uncertainty with Causal GraphNets

Charilaos Mylonas, Eleni N. Chatzi, E. Chatzi, 2021, Sensors.

On an application of graph neural networks in population based SHM

David J. Wagg, Eleni Chatzi, George Tsialiamanis, 2021, Data Science in Engineering, Volume 9.

Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces pdf

David J. Wagg, Keith Worden, Eleni Chatzi, 2021, ArXiv.

Machine Learning for Structural Health Assessment under Uncertainty: with applications in Wind Energy

Charilaos Mylonas, Charilaos Mylonas, 2021 .

Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data

Eleni Chatzi, Imad Abdallah, Charilaos Mylonas, 2021, Wind Energy.

Relational VAE: A Continuous Latent Variable Model for Graph Structured Data pdf

Eleni Chatzi, Imad Abdallah, Charilaos Mylonas, 2021, ArXiv.