Sankaran Mahadevan

J. Aerosp. Inf. Syst., 2024

Graph neural networks for power grid operational risk assessment under evolving grid topology.

[BibT_eX]

[DOI]

Yadong Zhang

Pranav M. Karve

CoRR, 2024

2023

Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis.

[BibT_eX]

[DOI]

S. Miele

Pranav Karve

Reliab. Eng. Syst. Saf., July, 2023

Probabilistic predictive control of porosity in laser powder bed fusion.

[BibT_eX]

[DOI]

Paromita Nath

J. Intell. Manuf., March, 2023

Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model.

[BibT_eX]

[DOI]

J. Comput. Inf. Sci. Eng., February, 2023

Probabilistic physics-informed machine learning for dynamic systems.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Reliability and risk metrics to assess operational adequacy and flexibility of power grids.

[BibT_eX]

[DOI]

Oliver Stover

Pranav Karve

Reliab. Eng. Syst. Saf., 2023

Power grid operational risk assessment using graph neural network surrogates.

[BibT_eX]

[DOI]

Yadong Zhang

Pranav M. Karve

CoRR, 2023

Graph Neural Networks for Power Grid Operational Risk Assessment.

[BibT_eX]

[DOI]

Yadong Zhang

Pranav M. Karve

CoRR, 2023

2022

Aircraft Landing Distance Prediction: A Multistep Long Short-Term Memory Approach.

[BibT_eX]

[DOI]

Yingxiao Kong

J. Aerosp. Inf. Syst., May, 2022

Bilevel Optimization Model for Resilient Configuration of Logistics Service Centers.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2022

Data-Driven Modeling of Aircraft Midair Separation Violation.

[BibT_eX]

[DOI]

Oliver Stover

IEEE Trans. Intell. Transp. Syst., 2022

Bayesian Deep Learning for Aircraft Hard Landing Safety Assessment.

[BibT_eX]

[DOI]

Yingxiao Kong

IEEE Trans. Intell. Transp. Syst., 2022

Towards a digital twin approach for vessel-specific fatigue damage monitoring and prognosis.

[BibT_eX]

[DOI]

Eric VanDerHorn

Zhenghua Wang

Reliab. Eng. Syst. Saf., 2022

Importance sampling for probabilistic prognosis of sector-wide flight separation safety.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Explainable machine learning in image classification models: An uncertainty quantification perspective.

[BibT_eX]

[DOI]

Felix T. S. Chan

Knowl. Based Syst., 2022

Non-intrusive estimation of model error and discrepancy in dynamics models.

[BibT_eX]

[DOI]

J. Comput. Phys., 2022

Just-In-Time Learning for Operational Risk Assessment in Power Grids.

[BibT_eX]

[DOI]

Pascal Van Hentenryck

CoRR, 2022

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.

[BibT_eX]

[DOI]

CoRR, 2022

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Bayesian network modeling of accident investigation reports for aviation safety assessment.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data.

[BibT_eX]

[DOI]

Berkcan Kapusuzoglu

Reliab. Eng. Syst. Saf., 2021

Online monitoring and control of a cyber-physical manufacturing process under uncertainty.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2021

Model error propagation from experimental to prediction configuration.

[BibT_eX]

[DOI]

J. Comput. Phys., 2021

Digital Twin: Generalization, characterization and implementation.

[BibT_eX]

[DOI]

Eric VanDerHorn

Decis. Support Syst., 2021

2020

Multi-source information fusion to assess control room operator performance.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Probability-space surrogate modeling for fast multidisciplinary optimization under uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Bayesian neural networks for flight trajectory prediction and safety assessment.

[BibT_eX]

[DOI]

Decis. Support Syst., 2020

2019

A new rule to combine dependent bodies of evidence.

[BibT_eX]

[DOI]

Soft Comput., 2019

Probability models for data-Driven global sensitivity analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2019

Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates.

[BibT_eX]

[DOI]

J. Sci. Comput., 2019

Error estimation in coupled multi-physics models.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

Ensemble machine learning models for aviation incident risk prediction.

[BibT_eX]

[DOI]

Decis. Support Syst., 2019

2018

A Bio-Inspired Approach to Traffic Network Equilibrium Assignment Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

CHARIOT: Goal-Driven Orchestration Middleware for Resilient IoT Systems.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2018

Resilience-based network design under uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2018

Measuring the vulnerability of community structure in complex networks.

[BibT_eX]

[DOI]

Daijun Wei

Reliab. Eng. Syst. Saf., 2018

Bayesian model updating with summarized statistical and reliability data.

[BibT_eX]

[DOI]

Eric VanDerHorn

Reliab. Eng. Syst. Saf., 2018

Efficient approximate inference in Bayesian networks with continuous variables.

[BibT_eX]

[DOI]

Chenzhao Li

Reliab. Eng. Syst. Saf., 2018

2017

A Game Theoretic Approach to Network Reliability Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2017

Reliability analysis with linguistic data: An evidential network approach.

[BibT_eX]

[DOI]

Xinyang Deng

Reliab. Eng. Syst. Saf., 2017

Design of validation experiments for life prediction models.

[BibT_eX]

[DOI]

Dan Ao

Reliab. Eng. Syst. Saf., 2017

An Evidential Failure Mode and Effects Analysis Using Linguistic Terms.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2017

Effectively Subsampled Quadratures for Least Squares Polynomial Approximations.

[BibT_eX]

[DOI]

Pranay Seshadri

Akil Narayan

SIAM/ASA J. Uncertain. Quantification, 2017

Sensor placement for calibration of spatially varying model parameters.

[BibT_eX]

[DOI]

Paromita Nath

J. Comput. Phys., 2017

An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2017

Aircraft re-routing optimization and performance assessment under uncertainty.

[BibT_eX]

[DOI]

Decis. Support Syst., 2017

Physarum solver: a bio-inspired method for sustainable supply chain network design problem.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2017

Efficient Kriging surrogate modeling approach for system reliability analysis.

[BibT_eX]

[DOI]

Artif. Intell. Eng. Des. Anal. Manuf., 2017

Performance evaluation of smart systems under uncertainty.

[BibT_eX]

[DOI]

Abhishek Dubey

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2016

Reliability analysis under epistemic uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2016

Separation of aleatory and epistemic uncertainty in probabilistic model validation.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2016

An efficient modularized sample-based method to estimate the first-order Sobol' index.

[BibT_eX]

[DOI]

Chenzhao Li

Reliab. Eng. Syst. Saf., 2016

Role of calibration, validation, and relevance in multi-level uncertainty integration.

[BibT_eX]

[DOI]

Chenzhao Li

Reliab. Eng. Syst. Saf., 2016

Accelerated Life Testing (ALT) Design Based on Computational Reliability Analysis.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2016

An improved method to construct basic probability assignment based on the confusion matrix for classification problem.

[BibT_eX]

[DOI]

Inf. Sci., 2016

A Physarum-inspired approach to supply chain network design.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2016

Combining dependent bodies of evidence.

[BibT_eX]

[DOI]

Appl. Intell., 2016

Towards Reliability-Based Decision Making in Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

2015

Developing environmental indices using fuzzy numbers power average (FN-PA) operator.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2015

Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2015

Human reliability under sleep deprivation: Derivation of performance shaping factor multipliers from empirical data.

[BibT_eX]

[DOI]

Candice D. Griffith

Reliab. Eng. Syst. Saf., 2015

<i>Physarum</i>-Inspired Applications in Graph-Optimization Problems.

[BibT_eX]

[DOI]

Yong Deng

Parallel Process. Lett., 2015

D-CFPR: D numbers extended consistent fuzzy preference relations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization.

[BibT_eX]

[DOI]

Chen Liang

J. Aerosp. Inf. Syst., 2015

Solving the Longest Path Problem in Directed Acyclic Graphs Based on Amoeba Algorithm.

[BibT_eX]

[DOI]

Int. J. Unconv. Comput., 2015

Vulnerability Assessment of Physical Protection Systems: A Bio-Inspired Approach.

[BibT_eX]

[DOI]

Yong Deng

Deyun Zhou

Int. J. Unconv. Comput., 2015

Handling of Dependence in Dempster-Shafer Theory.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

Parameter estimation based on interval-valued belief structures.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2015

Measure the similarity of nodes in the complex networks.

[BibT_eX]

[DOI]

CoRR, 2015

Tsallis entropy of complex networks.

[BibT_eX]

[DOI]

CoRR, 2015

Nonextensive analysis on the local structure entropy of complex networks.

[BibT_eX]

[DOI]

CoRR, 2015

A fuzzy extended analytic network process-based approach for global supplier selection.

[BibT_eX]

[DOI]

Appl. Intell., 2015

Automated uncertainty quantification analysis using a system model and data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Inclusion of task dependence in human reliability analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2014

Variable-fidelity model selection for stochastic simulation.

[BibT_eX]

[DOI]

Joshua Mullins

Reliab. Eng. Syst. Saf., 2014

A new decision-making method by incomplete preferences based on evidence distance.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2014

Selection of model discrepancy priors in Bayesian calibration.

[BibT_eX]

[DOI]

You Ling

Joshua Mullins

J. Comput. Phys., 2014

A <i>Physarum Polycephalum</i> Optimization Algorithm for the Bi-objective Shortest Path Problem.

[BibT_eX]

[DOI]

Int. J. Unconv. Comput., 2014

Environmental impact assessment based on D numbers.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Supplier selection using AHP methodology extended by D numbers.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

A new structure entropy of complex networks based on Tsallis nonextensive statistical mechanics.

[BibT_eX]

[DOI]

CoRR, 2014

Tsallis information dimension of complex networks.

[BibT_eX]

[DOI]

CoRR, 2014

A Physarum-Inspired Approach to Optimal Supply Chain Network Design at Minimum Total Cost with Demand Satisfaction.

[BibT_eX]

[DOI]

CoRR, 2014

An improved vulnerability index of complex networks based on fractal dimension.

[BibT_eX]

[DOI]

CoRR, 2014

Modeling contaminant intrusion in water distribution networks based on D numbers.

[BibT_eX]

[DOI]

CoRR, 2014

A biologically inspired model for transshipment problem.

[BibT_eX]

[DOI]

CoRR, 2014

A belief-based evolutionarily stable strategy.

[BibT_eX]

[DOI]

CoRR, 2014

D-CFPR: D numbers extended consistent fuzzy preference relations.

[BibT_eX]

[DOI]

CoRR, 2014

Rapid Physarum Algorithm for shortest path problem.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

Fuzzy fractal dimension of complex networks.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

An evidential DEMATEL method to identify critical success factors in emergency management.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

A non-parametric method to determine basic probability assignment for classification problems.

[BibT_eX]

[DOI]

Appl. Intell., 2014

A bio-inspired algorithm for identification of critical components in the transportation networks.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2014

Uncertainty quantification in performance evaluation of manufacturing processes.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Separating the contributions of variability and parameter uncertainty in probability distributions.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2013

Quantitative model validation techniques: New insights.

[BibT_eX]

[DOI]

You Ling

Reliab. Eng. Syst. Saf., 2013

A new method to determine basic probability assignment from training data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

An adaptive amoeba algorithm for constrained shortest paths.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

An Adaptive Amoeba Algorithm for Shortest Path Tree Computation in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2013

Ranking basic belief assignments in decision making under uncertain environment.

[BibT_eX]

[DOI]

CoRR, 2013

A Visibility Graph Averaging Aggregation Operator.

[BibT_eX]

[DOI]

CoRR, 2013

A biologically inspired solution for fuzzy shortest path problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

Solving 0-1 knapsack problems based on amoeboid organism algorithm.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2013

2012

Evidential cognitive maps.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

System Modeling for SHM Using Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Gregory Bartram

Proceedings of the Infotech@Aerospace 2012, 2012

2011

A probabilistic approach for representation of interval uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2011

Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty.

[BibT_eX]

[DOI]

Angel Urbina

Thomas L. Paez

Reliab. Eng. Syst. Saf., 2011

Model validation under epistemic uncertainty.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2011

Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2011

Inclusion of fatigue effects in human reliability analysis.

[BibT_eX]

[DOI]

Candice D. Griffith

Reliab. Eng. Syst. Saf., 2011

Efficient surrogate models for reliability analysis of systems with multiple failure modes.

[BibT_eX]

[DOI]

Barron J. Bichon

John M. McFarland

Reliab. Eng. Syst. Saf., 2011

Identification of critical inspection samples among railroad wheels by similarity-based agglomerative clustering.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2011

2010

Examining metrics and methods for determining critical facility system effectiveness.

[BibT_eX]

[DOI]

Patrick T. Hester

Kevin MacG. Adams

Int. J. Crit. Infrastructures, 2010

A framework for designing policies for networked systems with uncertainty.

[BibT_eX]

[DOI]

Surya Pathak

Mark P. McDonald

Decis. Support Syst., 2010

2009

Bayesian structural equation modeling method for hierarchical model validation.

[BibT_eX]

[DOI]

Xiaomo Jiang

Reliab. Eng. Syst. Saf., 2009

2008

Computational methods for model reliability assessment.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2008

Multiaxial fatigue reliability analysis of railroad wheels.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2008

2007

Bayesian risk-based decision method for model validation under uncertainty.

[BibT_eX]

[DOI]

Xiaomo Jiang

Reliab. Eng. Syst. Saf., 2007

Improving railroad wheel inspection planning using classification methods.

[BibT_eX]

Cen Li

Brant Stratman

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

Multi-level Methods for Combined Diagnostics and Prognostics.

[BibT_eX]

[DOI]

Gautam Biswas

Proceedings of the Artificial Intelligence for Prognostics, 2007

2006

Validation and error estimation of computational models.

[BibT_eX]

[DOI]

Shuping Huang

Reliab. Eng. Syst. Saf., 2006

Validation of models with multivariate output.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2006

Reliability-based failure cause assessment of collapsed bridge during construction.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2006

2005

Validation of reliability computational models using Bayes networks.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2005

2003

Reliability-based evaluation of automotive wind noise quality.

[BibT_eX]

[DOI]

Tong Zou

Zissimos P. Mourelatos

Reliab. Eng. Syst. Saf., 2003

Bayesian methodology for reliability model acceptance.

[BibT_eX]

[DOI]

Ruoxue Zhang

Reliab. Eng. Syst. Saf., 2003

Damage tolerance reliability analysis of automotive spot-welded joints.

[BibT_eX]

[DOI]

Kan Ni

Reliab. Eng. Syst. Saf., 2003

2002

Reliability analysis of automotive body-door subsystem.

[BibT_eX]

[DOI]

Tong Zou

Zissimos P. Mourelatos

Paul Meernik

Reliab. Eng. Syst. Saf., 2002

2001

Integration of computation and testing for reliability estimation.

[BibT_eX]

[DOI]

Ruoxue Zhang