... projection data-driven 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...

... 2022 12 12 2022 14 12 2022 29 03 2023 manufacturing process classification rotation invariance convolutional neural network point cloud cyber manufacturing artificial intelligence data-driven engineering machine learning for engineering applications manufacturing...

... 2023 23 03 2023 29 03 2023 Email: alayton@tamu.edu Email: rmalak@tamu.edu Email: everydayisamonday@tamu.edu Email: achatt31@tamu.edu Data-Driven engineering Model-based Systems Engineering Journal of Computing and Information Science in Engineering. Received August...

...: leochenquan@gmail.com Email: canxkoz@gmail.com Email: liuyuex@andrew.cmu.edu Email: aregmi@andrew.cmu.edu Email: soji@andrew.cmu.edu Email: tomotake@andrew.cmu.edu Email: shimada@andrew.cmu.edu Email: lkara@cmu.edu Computational Synthesis Computer Aided Design Data-Driven...

... Corresponding author. Email: tianzg@zzu.edu.cn Email: 1229302121@qq.com Email: hszhang@zzu.edu.cn Email: 1040570426@qq.com Cz single-crystal furnace dynamic forecasting Bi-LSTM neural network parameter prediction artificial intelligence big data and analytics data-driven engineering...

... 18 10 2022 09 01 2023 1 Corresponding author. Email: yjin@usc.edu Email: chuanhui@usc.edu autonomous ship path planning probabilistic roadmap dynamic environment risk assessment artificial intelligence big data and analytics data-driven engineering process modeling...

... data-driven engineering machine learning for engineering applications References [1] Gao , Y. , Zhang , Q. , and Kong , X. , 2003 , “ Wavelet–Based Pressure Analysis for Hydraulic Pump Health Diagnosis ,” Trans. ASAE , 46 ( 4 ), p. 969 . 10.13031/2013.13952...

...-Driven engineering Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received January 18, 2022; Accepted manuscript posted December 09, 2022. doi:10.1115/1.4056483 Copyright © 2022 bJyouArSnMal Eof Computing and Information Science in Engineering 1 A novel...

... artificial intelligence computational foundations for additive manufacturing data-driven engineering machine learning for engineering applications model-based systems engineering Data-driven approaches such as machine learning (ML) have shown their power in various engineering applications [ 1...

...@sjtu.edu.cn Email: qiuyu_1123@163.com 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 . 15 04 2022 31 08 2022 01 09 2022 09 12 2022 data-driven engineering...

... of equipment [ 3 ]. Therefore, it is necessary to develop intelligent detection and identification technology for the quality control of the welding process. welding defect identification few-shot learning meta-learning cross-domain prototypical network. artificial intelligence data-driven...

... Email: tws8@psu.edu artificial intelligence big data and analytics computational foundations for additive manufacturing cyber manufacturing data-driven engineering engineering informatics knowledge engineering process modeling for engineering applications qualification verification...

... Email: paul.witherell@nist.gov Email: hardwick@steptools.com Email: ho.yeung@nist.gov Email: vincenzo.ferrero@nist.gov computational foundations for additive manufacturing data-driven engineering engineering informatics manufacturing planning process modeling for engineering...

... of C omputing and I nformation S cience in E ngineering . 15 01 2022 01 09 2022 02 09 2022 20 10 2022 artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications multiphysics modeling and simulation...

..., the value and importance of patent data-driven approaches to engineering design and innovation are expected to grow in the future. Our review addresses this trend and aims to stimulate and guide future efforts to exploit and explore opportunities for patent data-driven engineering design and make the design...

... nformation S cience in E ngineering . 23 04 2022 01 09 2022 02 09 2022 27 09 2022 data-driven engineering inverse methods for engineering applications machine learning for engineering applications physics-based simulations qualification, verification and validation...

... in the shortest time and cheaper price. Industrial systems have become geographically dispersed organizations [ 1 ], where global supply chain (SC) management represents a central topic of focus [ 2 ]. computational foundations for engineering optimization data-driven engineering knowledge engineering...

..., and Identifiability ,” ASME J. Mech. Des. , 134 ( 10 ), p. 100908 . 10.1115/1.4007390 information fusion Bayesian statistics model calibration uncertainty quantification Bayesian network artificial intelligence big data and analytics data-driven engineering inverse methods for engineering...

... intelligence big data and analytics computer aided engineering data-driven engineering machine learning for engineering applications As a numerical computation method, finite element method (FEM) is widely used in scientific research [ 1 , 2 ] and engineering applications, such as structural...

... 06 2022 13 06 2022 08 08 2022 generalized regression neural network (GRNN) grasshopper optimization algorithm (GOA) welding nugget diameter prediction chaotic mapping non-uniform mutation artificial intelligence data-driven engineering Chongqing Science and Technology...