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- W4213022333 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.
- W4213022333 created "2022-02-24" @default.
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- W4213022333 date "2021-09-09" @default.
- W4213022333 modified "2023-10-16" @default.
- W4213022333 title "Physics-informed neural network model for cell viability and oxygen consumption of pancreatic islets" @default.
- W4213022333 doi "https://doi.org/10.26226/morressier.612f6735bc9810372410078e" @default.
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