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

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

Jeferson O. Almeida, Fernando A. Rochinha

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011003. doi: https://doi.org/10.1115/1.4054501

Abstract

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

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

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

Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011004. doi: https://doi.org/10.1115/1.4054573

Abstract

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

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

Uncertainty Quantification and Optimal Robust Design for Machining Operations

Jinming Wan, Yiming Che, Zimo Wang, Changqing Cheng

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005. doi: https://doi.org/10.1115/1.4055039

Abstract

View articletitled, Uncertainty Quantification and Optimal Robust Design for Machining Operations

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Topics: Design , Machining , Stability , Uncertainty , Risk

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

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

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011006. doi: https://doi.org/10.1115/1.4055315

Abstract

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

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Topics: Calibration , Blades

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

Qiyang Ma, Yiming Che, Changqing Cheng, Zimo Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011007. doi: https://doi.org/10.1115/1.4055425

Abstract

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

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

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

Bharath Pidaparthi, Samy Missoum

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011008. doi: https://doi.org/10.1115/1.4055508

Abstract

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

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

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

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009. doi: https://doi.org/10.1115/1.4055546

Abstract

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

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

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

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011010. doi: https://doi.org/10.1115/1.4055507

Abstract

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

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

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

Anh Tran, Kathryn Maupin, Theron Rodgers

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011. doi: https://doi.org/10.1115/1.4055852

Abstract

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

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

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012. doi: https://doi.org/10.1115/1.4055924

Abstract

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

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