铲除
发表于 2025-3-21 16:11:07
书目名称Machine Learning for Cyber-Physical Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620608<br><br> <br><br>书目名称Machine Learning for Cyber-Physical Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620608<br><br> <br><br>
沉着
发表于 2025-3-21 20:53:16
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对待
发表于 2025-3-22 01:46:55
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MUMP
发表于 2025-3-22 04:55:11
,Using ML-Based Models in Simulation of CPPSs: A Case Study of Smart Meter Production, costly process. This paper describes an approach which uses: 1) recorded data to automatically learn timed automata models of system components; and 2) manual logic based on prior knowledge that extends and enables the utilization of the learned models for simulation. Experiments in a smart meter p
Misgiving
发表于 2025-3-22 09:35:37
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Felicitous
发表于 2025-3-22 14:01:04
,Development of a Robotic Bin Picking Approach Based on Reinforcement Learning,r decades, there is still a gap between research and industrial application. The presented work intends to improve the utilization of bin picking for the industrial manufacturing of electrotechnical components. In this context, the development process of a system approach based on machine learning i
Enthralling
发表于 2025-3-22 17:05:11
,Control Reconfiguration of CPS via Online Identification Using Sparse Regression (SINDYc),ation of the system are crucial. This paper proposes a method for controlling reconfiguration by identifying faults in cyber-physical systems online. The approach utilizes sparse regression (SINDYc) to identify the system dynamics, including faults, and adjusts the control law accordingly by leverag
intention
发表于 2025-3-23 00:25:45
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addition
发表于 2025-3-23 04:39:51
,Domain Knowledge Injection Guidance for Predictive Maintenance, Unique challenges that often occur in real-time manufacturing environments require the use of domain knowledge from different experts. However, there is hardly any guidance that suggests data scientists how to inject knowledge from predictive maintenance use cases in machine learning models. This p
lethargy
发表于 2025-3-23 07:24:10
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