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机译:开发流程制造系统数据驱动模型时的考虑,挑战和机遇
Food Water Waste Research Group Faculty of Engineering University of Nottingham University Park Nottingham NG7 2RD UK;
Food Water Waste Research Group Faculty of Engineering University of Nottingham University Park Nottingham NG7 2RD UK;
i2CAT Foundation Calle Gran Capita 2 -4 Edifici Nexus (Campus Nord Upc) 08034 Barcelona Spain;
Totally Brewed Unit 8-9 Wholesale District Meadow Lane Nottingham NG2 3JJ UK;
Energy Innovation & Collaboration University of Nottingham Jubilee Campus Nottingham NG8 1BB UK Lindhurst Engineering Ltd. Midland Road Sutton in Ashfield Nottinghamshire NG17 5GS UK;
Lindhurst Engineering Ltd. Midland Road Sutton in Ashfield Nottinghamshire NG17 5GS UK;
Lindhurst Engineering Ltd. Midland Road Sutton in Ashfield Nottinghamshire NG17 5GS UK;
Food Water Waste Research Group Faculty of Engineering University of Nottingham University Park Nottingham NG7 2RD UK;
Data-driven models; Process resilience; Waste valorisation; Mathematical modelling; Machine learning; Industry 4.0;
机译:金属添加剂制造工艺的建模:挑战与机遇
机译:制药生产过程建模的挑战与机遇
机译:开发CPT的定量系统药理学模型储存库:药效测学和系统药理学:挑战和未来的机会。
机译:卷对卷加工的工艺注意事项,工艺挑战和制造系统
机译:添加剂制造系统的数据驱动过程优化
机译:在发展卫生系统中解决卫生公平的政策决策的挑战和机遇:印度奥里萨邦政策流程的案例研究
机译:发展中国家制造企业的出口网络挑战和机遇:厄立特里亚的鞋类和纺织品制造企业