... in the J ournal of C omputing and I nformation S cience in E ngineering . 06 07 2022 05 01 2023 05 01 2023 29 03 2023 computer vision vortex detection line integral convolution computational fluid dynamics turbulent flows machine learning for engineering applications...

... 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...

... engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received December 06, 2022; Accepted manuscript posted March 22, 2023. doi:10.1115/1.4062233 Copyright © 2023 by ASME A Data Augmentation Method for Data-driven Component Segmentation...

... and Analytics Engineering Informatics Knowledge Engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received July 26, 2022; Accepted manuscript posted March 08, 2023. doi:10.1115/1.4062173 Copyright © 2023 by ASME A TEXT ANALYTICS...

... . 12 03 2023 13 03 2023 13 03 2023 17 03 2023 Email: caterina.rizzi@unibg.it Email: paul.witherell@nist.gov Email: mahesh.mani@nist.gov Computer Aided Engineering Machine Learning for Engineering Applications Multiphysics Modeling and Simulation Accepted...

... optimization machine learning for engineering applications Copyright © 2023 by ASME 2023 American Society of Mechanical Engineers 1530-9827/2023/23(4)/041013/13/ $25.00 ...

... machine learning for engineering applications process modeling for engineering applications References [1] SIA , 2021 , “ 2021 State of the U.S. Semiconductor Industry ,” https://www.semiconductors.org/state-of-the-u-s-semiconductor-industry [2] WSTS , 2021 , “ World...

... Email: aragrawa@andrew.cmu.edu 1 Corresponding author. Email: ccm@cmu.edu reinforcement learning variable-fidelity models deep neural network surrogates design automation computational synthesis machine learning for engineering applications References [1] Li...

... 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...

... Corresponding author. Email: dsharma@iitg.ac.in Email: anand.ashish@iitg.ac.in machine learning for engineering applications CNN LSTM C-MAPSS offset analysis remaining useful life prediction References [1] Chen , B. , Wan , J. , Shu , L. , Li , P. , Mukherjee...

... and I nformation S cience in E 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...

... 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...

... industrial internet of things machine learning for engineering applications qualification verification and validation of computational models When designing a new vehicle, vertical wheel force (i.e., the vertical force acting at a wheel center) is one of the important quantities to assess...

... engineering machine learning for engineering applications process modeling for engineering applications 30 07 2022 05 11 2022 07 11 2022 09 12 2022 Copyright © 2022 by ASME 2022 American Society of Mechanical Engineers 1530-9827/2022/23(3)/030902/6/ $25.00 ...

... intelligence physics-based simulation uncertainty quantification physics-constrained neural network Bayesian neural network dual-dimer method machine learning for engineering applications Neural networks are effective tools to build surrogate models of complex systems to approximate the unknown...

... 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...

... data science big data and analytics computer aided design data-driven engineering machine learning for engineering applications References [1] Altshuller , G. S. , and Rafael , B. S. , 1956 , “ Psychology of Inventive Creativity ,” Issues Psychol. , 6 , pp. 37...

... multi-fidelity support vector machines probability of model inconsistency heat exchangers machine learning for engineering applications Over the past two decades, the engineering design process has become increasingly driven by numerical simulations. As a consequence, multiple numerical...

... 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...

... applications machine learning for engineering applications model-based systems engineering multi-physics modeling and simulation physics-based simulations In many engineering applications, physics-based computational models are used to analyze the system behavior under different operating...