...: fanwenhui@tsinghua.edu.cn 1 Corresponding author. Email: zhenguonie@tsinghua.edu.cn 15 01 2023 21 07 2023 21 07 2023 14 09 2023 artificial intelligence big data and analytics cybermanufacturing data-driven engineering National Natural Science Foundation...

... Corresponding author. Email: zhenguonie@tsinghua.edu.cn artificial intelligence computer-aided design data-driven engineering machine learning for engineering applications References [1] Wang , W. , Huang , Q. , You , S. , Yang , C. , and Neumann , U. , 2017...

...Janet K. Allen; Ehsan T Esfahani; Satyandra K. Gupta; Balan Gurumoorthy; Bin He; Ying Liu; John Michopoulos; Jitesh H. Panchal; Anurag Purwar; Kristina Wärmefjord Recent advances in computing and information science such as artificial intelligence (AI), machine learning (ML), edge computing, cloud...

...: thomaslu@jpl.caltech.edu Email: rotis@jpl.caltech.edu Email: nhut.ho.51@csun.edu Email: bingbing.li@csun.edu 24 12 2022 25 07 2023 26 07 2023 23 08 2023 Artificial Intelligence Computer Aided Design GPU Computing for Design and Manufacturing Machine Learning...

... consisting of regular networks SIFT = scale invariant feature transformations SVM = support vector machine TPR = true positive rate AdaBoost RegNet transfer learning quality detection artificial intelligence big data and analytics machine learning for engineering applications...

.... Deep learning is a subset of machine learning, which is itself a subset of artificial intelligence (AI). It is different from traditional learning in a few key ways. First, traditional learning algorithms often require hand-engineered features to represent data, which can be time-consuming and require...

... of which the designer might have not considered. It could also form the basis of future artificial intelligence systems that automate parts of the concept synthesis process. These possibilities provide the motivation behind this research. Fig. 1 A function model of an air-heating device...

...: Generating Shapes From Natural Language by Learning Joint Embeddings ,” Computer Vision – ACCV 2018 – 14th Asian Conference on Computer VisionRevised Selected Papers , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics...

... changes in relative velocity and attack angle between a UUV and ocean current. In order to address this issue, this work developed a data-driven design methodology for energy consumption-based UUV hull design using artificial intelligence-aided design (AIAD). The design methodology in this work combined...

... challenges for OL within the engineering domain. Email: cmoyacal@purdue.edu 1 Corresponding author. Email: guanglin@purdue.edu 30 03 2023 22 05 2023 23 05 2023 15 06 2023 artificial intelligence data-driven engineering operator learning machine learning...

... that no single bad actor—whether human or machine learning/artificial intelligence (ML/AI)—can induce failure anywhere in a system’s lifecycle. Additionally, while ML/AI and their associated risks are already entrenched within the operations phase of many systems’ lifecycles, ML/AI is gaining traction during...

... developed from experimental data are seen as effective solutions for real-time implementation, and hence, this framework has been proposed for the identification of bearing faults from experimental data. bearing faults vibration classification data reduction LSTM artificial intelligence...

... data, and artificial intelligence will be crucial throughout the process of reducing carbon emissions. The implementation pathways for increasing carbon sequestration primarily include ecological and technological carbon sequestration. Nevertheless, proving carbon neutrality requires measuring...

...@uiowa.edu 1 Corresponding author. Email: baek@virginia.edu 13 01 2023 11 04 2023 12 04 2023 25 05 2023 machine learning artificial intelligence computational modeling multiscale modeling data-driven engineering machine learning for engineering applications...

... learning classifier artificial intelligence data-driven engineering machine learning for engineering applications 04 12 2022 20 04 2023 23 04 2023 09 05 2023 1 Corresponding author. Email: pkankar@iiti.ac.in Email: amiglani@iiti.ac.in Email: phd1901103007...

... of artificial intelligence, such as deep learning-based computer vision and natural language processing, have provided new and better approaches to enable computers to produce combinational creativity. To the best of the authors’ knowledge, no studies to date have compared the performance between humans...

...) supplier screening text analytics document classification SKOS thesaurus semantic similarity artificial intelligence big data and analytics engineering informatics knowledge engineering machine learning for engineering applications References [1] Queiroz , M. M. , Fosso...

... process classification rotation invariance convolutional neural network point cloud cyber manufacturing artificial intelligence data-driven engineering machine learning for engineering applications manufacturing automation Division of Civil, Mechanical and Manufacturing Innovation...

... . 08 08 2022 18 12 2022 19 12 2022 23 01 2023 Email: nazarkhan@pucit.edu.pk 1 Corresponding author. Email: rabia.sirhindi@pucit.edu.pk artificial intelligence computer vision data analytics computational foundations for engineering optimization machine learning...

... in E ngineering . 26 03 2022 22 10 2022 30 10 2022 17 01 2023 Cz single-crystal furnace dynamic forecasting Bi-LSTM neural network parameter prediction artificial intelligence big data and analytics data-driven engineering machine learning for engineering...