... bJy. CAoSmMpEut. Inf. Sci. Eng. Table 1 Table Caption List Comparative MAPE Performance of Sequence Modeling Techniques in Tire Health Prediction Accepted Manuscript Not Copyedited 24 Advanced Computing Infrastructure Artificial Intelligence Big Data and Analytics Data-Driven engineering...

... 12 11 2024 21 11 2024 Artificial Intelligence Big Data and Analytics Knowledge Engineering National Science Foundation 10.13039/100000001 2050052 Journal of Computing and Information Science in Engineering. Received April 04, 2024; Accepted manuscript posted November...

...Chenhan Jiang; Rui Huang; Tao Shen The rise of generative artificial intelligence (GAI) applications, epitomized by ChatGPT, has reshaped design processes by enhancing idea generation and conceptual depth for designers. However, the facilitating effects on novice designers' thinking remain...

...: hongyi.3.xu@uconn.edu porous metamaterial graph representation graph neural network large language model variational graph autoencoder artificial intelligence References [1] Zheng , X. , Lee , H. , Weisgraber , T. H. , Shusteff , M. , DeOtte , J...

.... , and Gregoire , J. M. , 2019 , “ Artificial Intelligence for Materials Discovery ,” MRS Bull. , 44 ( 7 ), pp. 538 – 544 . 10.1557/mrs.2019.158 [26] Merchant , A. , Batzner , S. , Schoenholz , S. S. , Aykol , M. , Cheon , G. , and Cubuk , E. D. , 2023 , “ Scaling Deep...

...: sibotian@tamu.edu Email: xliang@tamu.edu Email: mhzheng@tamu.edu Email: sarabehdad@ufl.edu 01 06 2024 01 11 2024 04 11 2024 14 11 2024 Artificial Intelligence Machine Learning for Engineering Applications National Science Foundation 10.13039/100000001...

...@arcada.fi Email: adela.pages@udl.cat Email: albert.abio@eurecat.org Email: lluis.echeverria@eurecat.org artificial intelligence machine learning for engineering applications manufacturing automation References [1] Jiang , Y. , Yin , S. , Dong , J...

... calibrated to the complexity of the target CAD models to be generated. 22 04 2024 25 10 2024 30 10 2024 07 11 2024 Email: xingang.li@utexas.edu Email: yuewansun@utexas.edu Email: zsha@austin.utexas.edu Artificial Intelligence Computer Aided Design Human Computer...

... exploration multifidelity Bayesian optimization structured Gaussian process Ising model artificial intelligence data-driven engineering human computer interfaces/interactions machine learning for engineering applications physics-based simulations U.S. Department of Energy 10.13039/100000015...

...Naveed Ahmad Khan; Shahid Hussain; Wayne Spratford; Roland Goecke; Ketan Kotecha; Prashant K. Jamwal Recent advances in robotics and artificial intelligence have highlighted the potential for the integration of computational intelligence in enhancing the functionality and adaptability of robotic...

...: amit.singh@pilani.bits-pilani.ac.in Email: regalla@hyderabad.bits-pilani.ac.in additive manufacturing machine learning mechanical properties microstructure artificial intelligence computational foundations for additive manufacturing data-driven engineering machine learning for engineering...

...: chenc2021@gdut.edu.cn 20 12 2023 16 07 2024 27 07 2024 21 08 2024 Graphical Abstract Figure data privacy dataset distillation fault diagnosis industrial robot artificial intelligence big data analytics National Natural Science Foundation of China...

... artificial intelligence data-driven engineering inverse methods for engineering applications machine learning for engineering applications 08 06 2023 28 09 2023 29 09 2023 06 08 2024 1 Corresponding author. Email: raminb@uci.edu Email: zzanjani@uci.edu Email...

... Abstract Figure feature learning engineering knowledge process monitoring quality control additive manufacturing melt pool artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications National Institute of Standards...

... , G. , Stern , R. , Beja , T. , Sturtevant , N. , Schaeffer , J. , and Holte , R. C. , 2012 , “ Partial-Expansion A* With Selective Node Generation ,” Twenty-Sixth AAAI Conference on Artificial Intelligence , Toronto, Ontario, Canada , July 22–26 , AAAI Press, pp. 471 – 477...

... elusive, hard to quantify, and/or cannot be modeled using first principles due to computational cost or complexity. ML models have had a tremendous impact in fields such as computer vision, medical diagnostics, climate prediction, and other data-rich applications. artificial intelligence...

... , Barcelona, Spain , Dec. 5–8 , pp. 2234 – 2242 . [50] Li , C. , Bai , K. , Li , J. , Wang , G. , Chen , C. , and Carin , L. , 2019 , “ Adversarial Learning of a Sampler Based on an Unnormalized Distribution ,” The 22nd International Conference on Artificial Intelligence...

... protection in the United States. Approved for public release; distribution is unlimited. 30 08 2023 05 02 2024 06 02 2024 22 07 2024 Graphical Abstract Figure artificial intelligence data-driven engineering machine-learning for engineering applications...

... artificial intelligence machine learning for engineering applications multiphysics modeling and simulation physics-based simulations Decision support for optimal operation and maintenance (O&M) of bearing systems in rotational machinery is the key to optimal operation of such systems around...

... monitoring two-stage cylinders artificial intelligence data-driven engineering machine learning for engineering applications References [1] “Advantages of Using a Hydraulic System,” https://www.yukeneurope.com/advantages-of-using-a-hydraulic-system/ , Accessed September 6, 2021. [2...