Machine Learning for Cyber Physical Systems
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber P...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
Springer Nature
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20210113_9783662627464_8 |
| الوسوم: |
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| _version_ | 1869521941524643840 |
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| collection | Directory of Open Access Books |
| description | This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. |
| format | Online |
| id | doab-20.500.12854ir-33766 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-337662025-01-23T17:22:16Z Machine Learning for Cyber Physical Systems Beyerer, Jürgen Maier, Alexander Niggemann, Oliver Cyber-physical systems, IoT Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. 2021-02-10T14:11:02Z 2021-02-10T14:11:02Z 2021-01-13T08:56:31Z 2021 book ONIX_20210113_9783662627464_8 https://library.oapen.org/handle/20.500.12657/46102 https://directory.doabooks.org/handle/20.500.12854/33766 eng Technologien für die intelligente Automation open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/46102/1/2021_Book_MachineLearningForCyberPhysica.pdf https://library.oapen.org/bitstream/20.500.12657/46102/1/2021_Book_MachineLearningForCyberPhysica.pdf Springer Nature Springer Vieweg 10.1007/978-3-662-62746-4 10.1007/978-3-662-62746-4 9fa3421d-f917-4153-b9ab-fc337c396b5a Springer Vieweg 130 open access |
| spellingShingle | Cyber-physical systems, IoT Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications Machine Learning for Cyber Physical Systems |
| title | Machine Learning for Cyber Physical Systems |
| title_full | Machine Learning for Cyber Physical Systems |
| title_fullStr | Machine Learning for Cyber Physical Systems |
| title_full_unstemmed | Machine Learning for Cyber Physical Systems |
| title_short | Machine Learning for Cyber Physical Systems |
| title_sort | machine learning for cyber physical systems |
| topic | Cyber-physical systems, IoT Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications |
| topic_facet | Cyber-physical systems, IoT Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications |
| url | ONIX_20210113_9783662627464_8 |