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Timothy J. Rogers 0003
Person information
- affiliation: University of Sheffield, UK
Other persons with the same name
- Timothy J. Rogers — disambiguation page
- Timothy J. Rogers 0001 — University of Maryland, Department of Computer Science, College Park, MA, USA
- Timothy J. Rogers 0002 (aka: Timothy Joseph Rogers) — Purdue University, Computer Graphics Technology and Envision Center, West Lafayette, IN, USA
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2020 – today
- 2024
- [j3]Jah Shamas, Timothy J. Rogers, Anton Krynkin, Jevgenija Prisutova, Paul Gardner, Kirill V. Horoshenkov, Samuel R. Shelley, Paul Dickenson:
Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach. Sensors 24(15): 4883 (2024) - [j2]A. Stihi, Timothy J. Rogers, Claudia Mazzà, Elizabeth J. Cross:
On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing. IEEE Trans. Biomed. Eng. 71(3): 720-731 (2024) - [i20]Joe D. Longbottom, Max D. Champneys, Timothy J. Rogers:
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time. CoRR abs/2404.12923 (2024) - [i19]Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers:
Baseline Results for Selected Nonlinear System Identification Benchmarks. CoRR abs/2405.10779 (2024) - [i18]James Wilson, Max D. Champneys, Matt Tipuric, Robin S. Mills, David J. Wagg, Timothy J. Rogers:
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring. CoRR abs/2406.04943 (2024) - [i17]Max D. Champneys, Timothy J. Rogers:
BINDy - Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo. CoRR abs/2408.08062 (2024) - [i16]Brandon J. O'Connell, Max D. Champneys, Timothy J. Rogers:
A new perspective on Bayesian Operational Modal Analysis. CoRR abs/2408.08664 (2024) - [i15]Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes:
Active learning for regression in engineering populations: A risk-informed approach. CoRR abs/2409.04328 (2024) - [i14]Aidan J. Hughes, Keith Worden, Nikolaos Dervilis, Timothy J. Rogers:
Cost-informed dimensionality reduction for structural digital twin technologies. CoRR abs/2409.11236 (2024) - 2023
- [j1]Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers:
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors 23(1): 185 (2023) - [i13]Max D. Champneys, Timothy J. Rogers:
PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities. CoRR abs/2304.14956 (2023) - [i12]Brandon J. O'Connell, Timothy J. Rogers:
A Robust Probabilistic Approach to Stochastic Subspace Identification. CoRR abs/2305.16836 (2023) - [i11]Elizabeth J. Cross, Timothy J. Rogers, Daniel J. Pitchforth, Samuel J. Gibson, Matthew R. Jones:
A spectrum of physics-informed Gaussian processes for regression in engineering. CoRR abs/2309.10656 (2023) - [i10]Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David J. Wagg, Timothy J. Rogers:
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods. CoRR abs/2310.04478 (2023) - [i9]Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes:
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR abs/2310.05807 (2023) - 2022
- [i8]Matthew R. Jones, Timothy J. Rogers, Elizabeth J. Cross:
Constraining Gaussian processes for physics-informed acoustic emission mapping. CoRR abs/2206.01495 (2022) - [i7]Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, Daniel J. Pitchforth, Sikai Zhang, Timothy J. Rogers:
Physics-informed machine learning for Structural Health Monitoring. CoRR abs/2206.15303 (2022) - [i6]J. H. McLean, Matthew R. Jones, Brandon J. O'Connell, Andrew Eoghan Maguire, Timothy J. Rogers:
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature. CoRR abs/2209.15579 (2022) - 2021
- [i5]Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers:
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR abs/2101.01506 (2021) - [i4]Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden:
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR abs/2103.01676 (2021) - [i3]Daniel J. Pitchforth, Timothy J. Rogers, Ulf T. Tygesen, Elizabeth J. Cross:
Grey-box models for wave loading prediction. CoRR abs/2105.13813 (2021) - [i2]Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden:
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR abs/2111.15496 (2021) - 2020
- [i1]Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross:
A Bayesian methodology for localising acoustic emission sources in complex structures. CoRR abs/2012.11058 (2020)
Coauthor Index
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last updated on 2024-10-15 21:38 CEST by the dblp team
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