... 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...

... for OL within the engineering domain. 30 03 2023 22 05 2023 23 05 2023 30 05 2023 Email: cmoyacal@purdue.edu Email: guanglin@purdue.edu Artificial Intelligence Big Data and Analytics Computational Foundations for Engineering Optimization Data-Driven engineering...

...@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...

... 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...

... 02 2023 07 05 2023 08 05 2023 23 05 2023 Email: 1103917797@qq.com Email: li.xiu@sz.tsinghua.edu.cn Email: hbq@tsinghua.edu.cn Email: yzj21@mails.tsinghua.edu.cn Email: lnb1984@163.com Email: mo-y20@mails.tsinghua.edu.cn Artificial Intelligence Data...

...-of-the-art on each of these problems and identify questions of potential interest to the research community. 01 02 2023 28 04 2023 04 05 2023 18 05 2023 Email: nilanjan.chakraborty@stonybrook.edu Email: anurag.purwar@stonybrook.edu Artificial Intelligence Computational...

... 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...

... and encourage further work in this area we make all our data and code publicly available. 12 01 2023 28 04 2023 28 04 2023 03 05 2023 Email: joseph.lambourne@autodesk.com Email: pete.meltzer@autodesk.com Email: Daniele.Grandi@autodesk.com Artificial Intelligence Big...

... in the J ournal of C omputing and I nformation S cience in E ngineering . 12 09 2022 15 03 2023 23 03 2023 19 04 2023 artificial intelligence computer-aided design human–computer interfaces/interactions National Natural Science Foundation of China 10.13039...

...) 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...

.../BF01908075 artificial intelligence computer vision data analytics computational foundations for engineering optimization machine learning for engineering applications Analysis of 2D X-ray powder diffraction (XRPD) data is widely used for determining the crystal structure of unknown...

... 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...

... assessment artificial intelligence big data and analytics data-driven engineering process modeling for engineering applications Maritime transport is the most economical way of transporting goods globally. Over 80% of international trading is carried out by sea [ 1 ]. Among all types of accidents...

... 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...

...@iiti.ac.in Email: amiglani@iiti.ac.in 1 Corresponding author. Email: pkankar@iiti.ac.in condition monitoring hydraulic pump multiscale entropy majority voting classifier machine learning unbalanced dataset artificial intelligence data-driven engineering machine learning...

... 09 09 2022 13 09 2022 27 12 2022 artificial intelligence big data and analytics engineering informatics manufacturing automation National Natural Science Foundation of China 10.13039/501100001809 52175237 Cold-rolled galvanized steel strips are widely used...

... nformation S cience in E ngineering . 07 05 2022 09 08 2022 10 08 2022 09 12 2022 machine learning physics-constrained neural networks multifidelity metamodeling minimax optimization partial differential equations artificial intelligence computational foundations...

... [2] Cai , W. , 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...