{"product_id":"machine-learning-for-cyber-physical-systems-selected-papers-from-the-international-conference-ml4cps-2020-9783662627457","title":"Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference Ml4cps 2020","description":"\u003cp\u003e • Author(s): Jürgen Beyerer\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer Vieweg\u003cbr\u003e • BISAC: Electrical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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. \u003c\/p\u003e\u003cp\u003eCyber 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe Editors\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProf. Dr.-Ing. Jürgen Beyerer\u003c\/b\u003e is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Alexander Maier \u003c\/b\u003eis head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProf. Oliver Niggemann \u003c\/b\u003egot his doctorate in 2001 at the University of Paderborn with the topic \"Visual Data Mining of Graph-Based Data\". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo\/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which works in industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship \"Computer Science in Mechanical Engineering\" at the Helmut-Schmidt-University in Hamburg \/ Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276928835735,"sku":"9783662627457","price":2938.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783662627457.webp?v=1769287037","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-for-cyber-physical-systems-selected-papers-from-the-international-conference-ml4cps-2020-9783662627457","provider":"Atlantic Books","version":"1.0","type":"link"}