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Machine Learning for Cyber Physical Systems最新文献

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Deep Learning in Resource and Data Constrained Edge Computing Systems 资源和数据约束边缘计算系统中的深度学习
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_5
Pranav Sharma, Marcus Rüb, D. Gaida, Heiko Lutz, A. Sikora
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引用次数: 0
Energy Profile Prediction of Milling Processes Using Machine Learning Techniques 利用机器学习技术预测铣削过程的能量分布
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_1
Matthias Mühlbauer, Hubert Würschinger, Dominik Polzer, N. Hanenkamp
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引用次数: 0
Improvement of the prediction quality of electrical load profiles with artificial neural networks 用人工神经网络提高电力负荷剖面预测质量
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_2
Fabian Bauer, Jessica Hagner, P. Bretschneider, Stefan Klaiber
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引用次数: 0
Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning 利用机器学习对遗留PLC控制的制造设备自动生成改进建议
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_10
W. Koehler, Yanguo Jing
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引用次数: 0
Information modeling and knowledge extraction for machine learning applications in industrial production systems 工业生产系统中机器学习应用的信息建模和知识提取
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_8
Stefan Windmann, C. Kühnert
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引用次数: 0
Detection and localization of an underwater docking station in acoustic images using machine learning and generalized fuzzy hough transform 基于机器学习和广义模糊霍夫变换的声学图像水下坞站检测与定位
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_3
D. Karimanzira, Helge Renkewitz
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引用次数: 0
Deployment architecture for the local delivery of ML-Models to the industrial shop floor 将ml模型本地交付到工业车间的部署体系结构
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_4
A. Backhaus, A. Herzog, S. Adler, D. Jachmann
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引用次数: 1
Explanation Framework for Intrusion Detection 入侵检测的解释框架
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_9
Nadia Burkart, Maximilian Franz, Marco F. Huber
{"title":"Explanation Framework for Intrusion Detection","authors":"Nadia Burkart, Maximilian Franz, Marco F. Huber","doi":"10.1007/978-3-662-62746-4_9","DOIUrl":"https://doi.org/10.1007/978-3-662-62746-4_9","url":null,"abstract":"","PeriodicalId":101478,"journal":{"name":"Machine Learning for Cyber Physical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114928914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems 自动诊断和重新配置混合信息物理系统的第一种方法
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_12
Alexander Diedrich, Kaja Balzereit, O. Niggemann
{"title":"First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems","authors":"Alexander Diedrich, Kaja Balzereit, O. Niggemann","doi":"10.1007/978-3-662-62746-4_12","DOIUrl":"https://doi.org/10.1007/978-3-662-62746-4_12","url":null,"abstract":"","PeriodicalId":101478,"journal":{"name":"Machine Learning for Cyber Physical Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126159505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data 利用FIB-SEM纳米层析成像数据重建高孔隙结构的机器学习
Machine Learning for Cyber Physical Systems Pub Date : 2020-12-24 DOI: 10.1007/978-3-662-62746-4_13
C. Fend, A. Moghiseh, C. Redenbach, K. Schladitz
{"title":"Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data","authors":"C. Fend, A. Moghiseh, C. Redenbach, K. Schladitz","doi":"10.1007/978-3-662-62746-4_13","DOIUrl":"https://doi.org/10.1007/978-3-662-62746-4_13","url":null,"abstract":"","PeriodicalId":101478,"journal":{"name":"Machine Learning for Cyber Physical Systems","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128008568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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