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 some selected papers from the international Conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31...
Сохранить в:
| Формат: | Online |
|---|---|
| Язык: | английский |
| Опубликовано: |
Springer Nature
2024
|
| Предметы: | |
| Online-ссылка: | ONIX_20240716_9783031470622_2 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
| _version_ | 1869531306167107584 |
|---|---|
| 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 some selected papers from the international Conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31st, 2023. 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. This is an open access book. |
| format | Online |
| id | doab-20.500.12854ir-142439 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1424392024-07-23T08:45:13Z Machine Learning for Cyber-Physical Systems Niggemann, Oliver Beyerer, Jürgen Krantz, Maria Kühnert, Christian Cyber-physical systems Neural networks Computer Science Network architecture Automatic validation Machine learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31st, 2023. 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. This is an open access book. 2024-07-23T08:45:11Z 2024-07-23T08:45:11Z 2024-07-16T18:50:15Z 2024 book ONIX_20240716_9783031470622_2 https://library.oapen.org/handle/20.500.12657/92296 9783031470622 9783031470615 https://directory.doabooks.org/handle/20.500.12854/142439 eng Technologien für die intelligente Automation open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/92296/1/978-3-031-47062-2.pdf Springer Nature Springer Nature Switzerland 10.1007/978-3-031-47062-2 10.1007/978-3-031-47062-2 9fa3421d-f917-4153-b9ab-fc337c396b5a c7199471-8126-48cd-bade-e00fd8cb43ec 9783031470622 9783031470615 Springer Nature Switzerland 129 Cham [...] open access |
| spellingShingle | Cyber-physical systems Neural networks Computer Science Network architecture Automatic validation Machine learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling 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 Neural networks Computer Science Network architecture Automatic validation Machine learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling |
| topic_facet | Cyber-physical systems Neural networks Computer Science Network architecture Automatic validation Machine learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling |
| url | ONIX_20240716_9783031470622_2 |