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Approximate Bayesian Computation by Subset Simulation

SIAM journal on scientific computing, 2014-01, Vol.36 (3), p.A1339-A1358

2014

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A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Applied intelligence (Dordrecht, Netherlands), 2021-09, Vol.51 (9), p.6497-6527

2021

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A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves

Mechanical systems and signal processing, 2019-05, Vol.122, p.192-205

2019

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Bayesian Inverse Problems: Fundamentals and Engineering Applications

1, 2021

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Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information

Mechanical systems and signal processing, 2020-01, Vol.135, p.106377, Article 106377

2020

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A Markov chains prognostics framework for complex degradation processes

Reliability engineering & system safety, 2020-03, Vol.195, p.106621, Article 106621

2020

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A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing

NDT & E international : independent nondestructive testing and evaluation, 2022-06, Vol.128, p.102626, Article 102626

2022

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Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Engineering applications of artificial intelligence, 2022-01, Vol.107, p.104511, Article 104511

2022

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Structural digital twin framework: Formulation and technology integration

Automation in construction, 2022-08, Vol.140, p.104333, Article 104333

2022

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Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics

Reliability engineering & system safety, 2024-03, Vol.243, p.109822, Article 109822

2024

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Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

Reliability engineering & system safety, 2022-06, Vol.222, p.108365, Article 108365

2022

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Condition-based prediction of time-dependent reliability in composites

Reliability engineering & system safety, 2015-10, Vol.142, p.134-147

2015

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Reliability in composites – A selective review and survey of current development

Composites. Part B, Engineering, 2012-04, Vol.43 (3), p.902-913

2012

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Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization

Mechanical systems and signal processing, 2020-10, Vol.144, p.106901, Article 106901

2020

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A knowledge-based prognostics framework for railway track geometry degradation

Reliability engineering & system safety, 2019-01, Vol.181, p.127-141

2019

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Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns

Engineering applications of artificial intelligence, 2023-03, Vol.119, p.105790, Article 105790

2023

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A multilevel Bayesian method for ultrasound-based damage identification in composite laminates

Mechanical systems and signal processing, 2017-05, Vol.88, p.462-477

2017

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A new paradigm for uncertain knowledge representation by Plausible Petri nets

Information sciences, 2018-07, Vol.453, p.323-345

2018

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Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

Computers in industry, 2024-02, Vol.155, p.104058, Article 104058

2024

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Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

Engineering applications of artificial intelligence, 2023-01, Vol.117, p.105502, Article 105502

2023

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Adaptive approximate Bayesian computation by subset simulation for structural model calibration

Computer-aided civil and infrastructure engineering, 2022-05, Vol.37 (6), p.726-745

2022

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Particle filter-based delamination shape prediction in composites subjected to fatigue loading

Structural health monitoring, 2023-05, Vol.22 (3), p.1844-1862

2023

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Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures

Composite structures, 2021-07, Vol.267, p.113849, Article 113849

2021

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A new algorithm for prognostics using Subset Simulation

Reliability engineering & system safety, 2017-12, Vol.168, p.189-199

2017

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A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media

Transport in porous media, 2019-01, Vol.126 (1), p.177-197

2019

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Approximate Bayesian Computation by Subset Simulation

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves

Bayesian Inverse Problems: Fundamentals and Engineering Applications

Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information

A Markov chains prognostics framework for complex degradation processes

A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Structural digital twin framework: Formulation and technology integration

Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

Condition-based prediction of time-dependent reliability in composites

Reliability in composites – A selective review and survey of current development

Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization

A knowledge-based prognostics framework for railway track geometry degradation

Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns

A multilevel Bayesian method for ultrasound-based damage identification in composite laminates

A new paradigm for uncertain knowledge representation by Plausible Petri nets

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

Adaptive approximate Bayesian computation by subset simulation for structural model calibration

Particle filter-based delamination shape prediction in composites subjected to fatigue loading

Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures

A new algorithm for prognostics using Subset Simulation

A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media

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