... engineering inverse methods for engineering applications physics-based simulations National Natural Science Foundation of China 10.13039/501100001809 51975589 As the train developed toward heavy loads and high speeds, the severe wear of the wheel and rail profile will worsen...

... ngineering . 16 06 2022 30 08 2022 31 08 2022 12 12 2022 knowledge representation theoretical knowledge Bayesian inference item response theory engineering informatics inverse methods for engineering applications machine learning for engineering applications...

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... rotor blades are used to analyze the effectiveness of the proposed approach. information fusion Bayesian statistics model calibration uncertainty quantification Bayesian network artificial intelligence big data and analytics data-driven engineering inverse methods for engineering applications...

... Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 09 02 2022 22 05 2022 23 05 2022 01 09 2022 inverse methods for engineering applications machine learning for engineering...

... cience in E ngineering . 29 01 2022 11 05 2022 11 05 2022 18 07 2022 artificial intelligence data-driven engineering inverse methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601...

... inverse methods for engineering applications machine learning for engineering applications Since x ( i ) > 0 and ( θ 2 + x ( i ) ) 2 > 0, the ruled-out regions are defined by (46) { θ : x ( i ) θ 1 − y ( i ) θ 2 − x ( i ) y ( i...

... artificial intelligence inverse methods for engineering applications statistical methods for engineering applications machine learning for engineering applications Inverse prediction (IP) modeling is concerned with predicting the unknown values of independent variables that produced an observed...

... and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 12 10 2021 31 01 2022 31 01 2022 10 03 2022 inverse methods for engineering applications machine learning for engineering applications physics informed...

... for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 30 07 2021 04 11 2021 05 11 2021 10 12 2021 additive manufacturing lattice structure data-driven engineering uncertainty quantification inverse methods for engineering applications...

... computational metrology inverse methods for engineering applications machine learning for engineering applications multiscale modeling and simulation physics-based simulations With only a few extraordinarily well-controlled exceptions, all materials contain defects [ 1 ]. Here, the term “defect...

... No. MSEC2019-2899. 10 09 2020 17 02 2021 17 02 2021 25 03 2021 process monitoring digital twin compressed sensing physics-based compressive sensing PDE constrained optimization computational foundations for additive manufacturing inverse methods for engineering applications...

... diffusion data-driven engineering engineering informatics inverse methods for engineering applications model-based systems engineering multidisciplinary optimization Fitting a specified model to data, also called curve fitting, is an inverse problem that has wide application in many science...

... to optimize the objective function at the highest level of fidelity, but at a reduced computational cost by leveraging lower-fidelity data. computational foundations for engineering optimization inverse methods for engineering applications inverse methods for engineering applications multi...