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Journal Articles

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.

Paper No: JCISE-22-1123

https://doi.org/10.1115/1.4055924

Published Online: November 8, 2022

View Article titled, Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing

Journal Articles

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Anh Tran, Kathryn Maupin, Theron Rodgers

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.

Paper No: JCISE-22-1017

https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

View Article titled, Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Topics: Machine learning, Materials science, Physics, Stress, Testing, Crystals, Plasticity, Simulation, Noise (Sound), Finite element analysis

Journal Articles

Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment

Jiehang Deng, Haomin Wei, Zhenxiang Lai, Guosheng Gu, Zhiqiang Chen, Leo Chen, Lei Ding

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011010.

Paper No: JCISE-21-1350

https://doi.org/10.1115/1.4055507

Published Online: October 10, 2022

View Article titled, Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment

Topics: Licensing, Artificial neural networks, Plates (structures), Feature extraction

Journal Articles

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Marie-Jo Azzi, Chady Ghnatios, Philip Avery, Charbel Farhat

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009.

Paper No: JCISE-22-1149

https://doi.org/10.1115/1.4055546

Published Online: September 27, 2022

View Article titled, Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Topics: Approximation, Computer simulation, Construction, Dimensions, Machine learning, Modeling, Nozzles, Physics, Robustness, Simulation

Journal Articles

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Qiyang Ma, Yiming Che, Changqing Cheng, Zimo Wang

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011007.

Paper No: JCISE-22-1122

https://doi.org/10.1115/1.4055425

Published Online: September 27, 2022

View Article titled, Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Topics: Downtime, Manufacturing systems, Optimization, Production planning, Uncertainty, Simulation, Manufacturing, Machinery, Polynomials, Chaos

Journal Articles

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency

Bharath Pidaparthi, Samy Missoum

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011008.

Paper No: JCISE-22-1131

https://doi.org/10.1115/1.4055508

Published Online: September 27, 2022

View Article titled, A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency

Topics: Failure, Heat exchangers, Probability, Reliability, Support vector machines, Shells, Algorithms

Journal Articles

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

Berkcan Kapusuzoglu, Sankaran Mahadevan, Shunsaku Matsumoto, Yoshitomo Miyagi, Daigo Watanabe

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011006.

Paper No: JCISE-22-1121

https://doi.org/10.1115/1.4055315

Published Online: September 15, 2022

View Article titled, Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model

Topics: Calibration, Blades

Journal Articles

Uncertainty Quantification and Optimal Robust Design for Machining Operations

Jinming Wan, Yiming Che, Zimo Wang, Changqing Cheng

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005.

Paper No: JCISE-22-1032

https://doi.org/10.1115/1.4055039

Published Online: August 5, 2022

View Article titled, Uncertainty Quantification and Optimal Robust Design for Machining Operations

Topics: Design, Machining, Stability, Uncertainty, Risk

Journal Articles

A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling

Abouzar Choubineh, Jie Chen, Frans Coenen, Fei Ma

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 014502.

Paper No: JCISE-22-1015

https://doi.org/10.1115/1.4054868

Published Online: July 18, 2022

View Article titled, A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling

Topics: Artificial neural networks, Modeling, Fluid dynamics, Errors, Testing, Permeability

Journal Articles

A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study

Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011004.

Paper No: JCISE-22-1045

https://doi.org/10.1115/1.4054573

Published Online: July 18, 2022

View Article titled, A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study

Topics: Errors, Filters, Filtration, Noise (Sound), Splines, Algorithms, Smoothing methods, Nonlinear dynamical systems, Polynomials

Journal Articles

A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms

Jeferson O. Almeida, Fernando A. Rochinha

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011003.

Paper No: JCISE-22-1120

https://doi.org/10.1115/1.4054501

Published Online: June 6, 2022

View Article titled, A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms

Topics: Optimization, Wakes, Wind farms, Uncertainty, Turbines, Wind, Wind turbines

Journal Articles

A Framework for Inverse Prediction Using Functional Response Data

Daniel Ries, Adah Zhang, J. Derek Tucker, Kurtis Shuler, Madeline Ausdemore

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011002.

Paper No: JCISE-21-1393

https://doi.org/10.1115/1.4053752

Published Online: May 20, 2022

View Article titled, A Framework for Inverse Prediction Using Functional Response Data

Topics: Errors, Nuclear forensics, Particulate matter, Scalars, Shapes, Simulation, Uncertainty, Texture (Materials), Modeling, Uncertainty quantification

Journal Articles

A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems

Arpan Biswas, Claudio Fuentes, Christopher Hoyle

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 014501.

Paper No: JCISE-21-1366

https://doi.org/10.1115/1.4054480

Published Online: May 20, 2022

View Article titled, A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems

Topics: Design, Optimization, Regression models, Errors

Includes: Supplementary data

Journal Articles

Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study

Ying Zhao, Chen Jiang, Manuel A. Vega, Michael D. Todd, Zhen Hu

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011001.

Paper No: JCISE-21-1386

https://doi.org/10.1115/1.4054039

Published Online: May 17, 2022

View Article titled, Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study

Topics: Metamodeling, Nonlinear dynamical systems, Dynamic systems, Artificial neural networks

Journal citation

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Supplemental Material

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency

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

Uncertainty Quantification and Optimal Robust Design for Machining Operations

A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling

A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study

A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms

A Framework for Inverse Prediction Using Functional Response Data

A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems

Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study

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