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Complex organic matter degradation by secondary consumers in chemolithoautotrophy-based subsurface geothermal ecosystems

PloS one, 2023-08, Vol.18 (8), p.e0281277-e0281277

2023

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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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Effect of tectonic processes on biosphere–geosphere feedbacks across a convergent margin

Nature geoscience, 2021-05, Vol.14 (5), p.301-306

2021

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A spectrum of physics-informed Gaussian processes for regression in engineering

Data-Centric Engineering (Online), 2024-01, Vol.5, Article e8

2024

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Microbiome Variation Across Two Hemlock Species With Hemlock Woolly Adelgid Infestation

Frontiers in microbiology, 2020-07, Vol.11, p.1528-1528

2020

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Structured machine learning tools for modelling characteristics of guided waves

Mechanical systems and signal processing, 2021-07, Vol.156, p.107628, Article 107628

2021

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Chemolithoautotroph distributions across the subsurface of a convergent margin

The ISME Journal, 2023-01, Vol.17 (1), p.140-150

2023

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A sampling-based approach for information-theoretic inspection management

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2022-06, Vol.478 (2262), p.20210790-20210790

2022

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Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data

ASCE-ASME journal of risk and uncertainty in engineering systems. Part A, Civil Engineering, 2021-03, Vol.7 (1)

2021

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Exploring variation in phyllosphere microbial communities across four hemlock species

Ecosphere (Washington, D.C), 2018-12, Vol.9 (12), p.n/a

2018

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Sparse Gaussian Process Emulators for Surrogate Design Modelling

Applied Mechanics and Materials, 2018-11, Vol.885, p.18-31

2018

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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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A Gaussian-process assisted model-form error estimation in multiple-degrees-of-freedom systems

Mechanical systems and signal processing, 2024-07, Vol.216, p.111474, Article 111474

2024

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A robust probabilistic approach to stochastic subspace identification

Journal of sound and vibration, 2024-07, Vol.581, p.118381, Article 118381

2024

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Applying Magnetic Curvature to MMS Data to Identify Thin Current Sheets Relative to Tail Reconnection

Journal of geophysical research. Space physics, 2023-01, Vol.128 (1), p.e2022JA030577-n/a

2023

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Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression

Structural health monitoring, 2023-09, Vol.22 (5), p.3065-3076

2023

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Online damage detection of cutting tools using Dirichlet process mixture models

Mechanical systems and signal processing, 2022-11, Vol.180, p.109434, Article 109434

2022

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Towards Population-Based Structural Health Monitoring, Part I: Homogeneous Populations and Forms

Model Validation and Uncertainty Quantification, Volume 3, 2020, p.287-302

2020

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Informative Bayesian tools for damage localisation by decomposition of Lamb wave signals

Journal of sound and vibration, 2022-09, Vol.535, p.117063, Article 117063

2022

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Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods

Journal of sound and vibration, 2024-04, Vol.576, p.118295, Article 118295

2024

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On Conserving Privacy in Structural Health Monitoring

E-journal of Nondestructive Testing, 2024-07, Vol.29 (7)

2024

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Bayesian Joint Input-State Estimation for Nonlinear Systems

Vibration, 2020-09, Vol.3 (3), p.281-303

2020

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On Improving the Efficiency of Bayesian Stochastic Subspace Identification

Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024), p.609-617

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Multi-dataset OMA of a Sightseeing Tower with the New SpCF Method

Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024), p.652-662

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A spin on active learning analysis for health monitoring

E-journal of Nondestructive Testing, 2024-07, Vol.29 (7)

2024

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Complex organic matter degradation by secondary consumers in chemolithoautotrophy-based subsurface geothermal ecosystems

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

Effect of tectonic processes on biosphere–geosphere feedbacks across a convergent margin

A spectrum of physics-informed Gaussian processes for regression in engineering

Microbiome Variation Across Two Hemlock Species With Hemlock Woolly Adelgid Infestation

Structured machine learning tools for modelling characteristics of guided waves

Chemolithoautotroph distributions across the subsurface of a convergent margin

A sampling-based approach for information-theoretic inspection management

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data

Exploring variation in phyllosphere microbial communities across four hemlock species

Sparse Gaussian Process Emulators for Surrogate Design Modelling

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

A Gaussian-process assisted model-form error estimation in multiple-degrees-of-freedom systems

A robust probabilistic approach to stochastic subspace identification

Applying Magnetic Curvature to MMS Data to Identify Thin Current Sheets Relative to Tail Reconnection

Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression

Online damage detection of cutting tools using Dirichlet process mixture models

Towards Population-Based Structural Health Monitoring, Part I: Homogeneous Populations and Forms

Informative Bayesian tools for damage localisation by decomposition of Lamb wave signals

Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods

On Conserving Privacy in Structural Health Monitoring

Bayesian Joint Input-State Estimation for Nonlinear Systems

On Improving the Efficiency of Bayesian Stochastic Subspace Identification

Multi-dataset OMA of a Sightseeing Tower with the New SpCF Method

A spin on active learning analysis for health monitoring

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