... 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 29 03 2023 Email: sunly@zju.edu.cn Email: chenlq@zju.edu.cn Email: j.han2@exeter.ac.uk Artificial Intelligence Computer Aided Design Human Computer Interfaces/Interactions Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering...

... and discovery solutions by improving the precision, reliability, and intelligence of their underlying search engines. 26 07 2022 08 03 2023 10 03 2023 21 03 2023 Email: mjavadi@uh.edu Email: ameri@txstate.edu Email: k_z54@txstate.edu Artificial Intelligence Big Data...

... on a poly-crystalline powdered substance produces a number of scattering cones making concentric elliptical patterns on a 2D detector surface mounted co-axially with the beam (as shown in Fig. 1 ). artificial intelligence computer vision data analytics computational foundations for engineering...

... in the manufacture of semiconductor devices and integrated circuits, and are the cornerstone of a range of technology booms such as 5G, artificial intelligence, and the internet of things (IoT), with integrated circuits based on silicon single crystal manufacturing accounting for more than 95% of the semiconductor...

... 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...

... explored the retrieval of knowledge and heuristics from design data. However, they only provide stimuli to inspire designers from limited aspects. This study explores the recent advance of the natural language generation (NLG) technique in the artificial intelligence (AI) field to automate the early stage...

... function x c = complimentary set of features x s = feature of interest x ′ = normalized signal tr = vector transpose condition monitoring hydraulic pump multiscale entropy majority voting classifier machine learning unbalanced dataset artificial intelligence...

... ngineering . 23 06 2022 09 09 2022 13 09 2022 27 12 2022 1 Corresponding author. Email: zhenguonie@tsinghua.edu.cn artificial intelligence big data and analytics engineering informatics manufacturing automation References [1] Xu , D. , and Di...

... 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...

.... , Wang , J. , Jiang , P. , Cao , L. , Mi , G. , and Zhou , Q. , 2020 , “ Application of Sensing Techniques and Artificial Intelligence-Based Methods to Laser Welding Real-Time Monitoring: A Critical Review of Recent Literature ,” J. Manuf. Syst. , 57 , pp. 1 – 18 . 10.1016/j.jmsy...

... in Artificial Intelligence , Virtual Online , July 27–30 , PMLR, pp. 675 – 685 . [25] Kendall , A. , and Gal , Y. , 2017 , “ What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision ,” Adv. Neural Inform. Process. Syst. , 30 ( 1 ), pp. 5580 – 5590 . [26] Vila , J...

... 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...

.... Model. Comput. , 1 ( 2 ), pp. 119 – 156 . 10.1615/JMachLearnModelComput.2020035155 [15] Riihimäki , J. , and Vehtari , A. , 2010 , “ Gaussian Processes With Monotonicity Information ,” Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, JMLR...

...Glen Williams; Nicholas A. Meisel; Timothy W. Simpson; Christopher McComb The intersection between engineering design, manufacturing, and artificial intelligence offers countless opportunities for breakthrough improvements in how we develop new technology. However, achieving this synergy between...

...Shuo Jiang; Serhad Sarica; Binyang Song; Jie Hu; Jianxi Luo Patent data have long been used for engineering design research because of its large and expanding size and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data...

.... There is extensive work on computer support for shape creation using direct manipulation, sketching, gestures, hand-held controllers, etc. In this work, we aim to investigate verbalization as a means to describe visual forms (geometry) in the exploratory early stages of design. artificial intelligence...

..., 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...

... 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...

... 25 05 2022 08 08 2022 data fusion long-short term memory (LSTM) machine condition monitoring prognostic and health management (PHM) artificial intelligence cyber physical security for factories data-driven engineering industrial internet of things The tremendous advances...