Autor: |
Rincon-Yanez, Diego, Gad-Elrab, Mohamed H., Stepanova, Daria, Tran, Kien Trung, Xuan, Cuong Chu, Zhou, Baifan, Karlamov, Evgeny |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Industry Track - Extended Semantic Web Conference (ESWC2023) |
Druh dokumentu: |
Working Paper |
Popis: |
At the heart of smart manufacturing is real-time semi-automatic decision-making. Such decisions are vital for optimizing production lines, e.g., reducing resource consumption, improving the quality of discrete manufacturing operations, and optimizing the actual products, e.g., optimizing the sampling rate for measuring product dimensions during production. Such decision-making relies on massive industrial data thus posing a real-time processing bottleneck. |
Databáze: |
arXiv |
Externí odkaz: |
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