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- W4231860398 abstract "Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s different industries, ranging from advanced manufacturing to biomedical systems to resilient ecosystems, civil infrastructures, smart cities, and healthcare. They have become indispensable for solving complex problems in science, engineering, and technology development. The purpose of the MMLDT-CSET 2021 conference is to facilitate the transition of ML and DT from fundamental research to mainstream fields and technologies through advanced data science, mechanistic methods, and computational technologies. This 3-day conference features technical tracks of emerging ML-DT fields and applications, special public lectures, short courses, and demonstrations. The conference will be held in a hybrid format, featuring both on-site and virtual sessions." @default.
- W4231860398 created "2022-05-12" @default.
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- W4231860398 date "2021-09-28" @default.
- W4231860398 modified "2023-09-26" @default.
- W4231860398 title "Towards a Data-Driven Digital Twin for the Aging Prediction of Aircraft Composite Components Airworthiness Accounting for Flight and Environmental Conditions" @default.
- W4231860398 doi "https://doi.org/10.26226/morressier.612f6739bc9810372410094f" @default.
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