CHORD
发表于 2025-3-21 19:47:08
书目名称Internet of Production影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0472450<br><br> <br><br>书目名称Internet of Production读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0472450<br><br> <br><br>
易于
发表于 2025-3-21 22:22:30
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indicate
发表于 2025-3-22 00:37:11
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Carcinogenesis
发表于 2025-3-22 07:02:27
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eczema
发表于 2025-3-22 10:55:02
A Digital Shadow Reference Model for Worldwide Production Labs,ion and especially the use of data and models within the production domain. Our aim is to investigate how to model data elements and static and dynamic relationships as well as their physical resources in the IoP, in a cross-disciplinary life cycle spanning cooperation as a basis for information man
门闩
发表于 2025-3-22 13:52:16
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思想流动
发表于 2025-3-22 19:11:47
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搜寻
发表于 2025-3-22 23:37:15
Decision Support for the Optimization of Continuous Processes using Digital Shadows,s further increase productivity. This also applies to well-established and already highly automated processes in continuous production employed in various industrial sectors. Continuous production refers to processes in which the produced material, either fluid or solid form, is continuously in moti
裂缝
发表于 2025-3-23 04:24:58
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CUR
发表于 2025-3-23 06:24:55
Digital Shadows: Infrastructuring the Internet of Production,ss models. Each domain comes with specialized knowledge, often incorporated into mathematical models. This heterogeneity makes it hard to naively exploit advances in data-driven machine learning that could facilitate situation adaptation and experience transfer. Innovative combinations of model-driv