Non-Fiction Books:

Machine Learning for Cyber-Physical Systems

Selected papers from the International Conference ML4CPS 2023
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$139.00
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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.

Author Biography:

Prof. Dr. Oliver Niggemann held the professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo (Germany) from 2008 to 2019 and was also deputy head of the Fraunhofer IOSB-INA until 2019. In 2019, he took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut Schmidt University in Hamburg. His research at the Institute for Automation Technology is in the field of artificial intelligence and machine learning for cyber-physical systems.  Prof. Dr.-Ing. JĂ¼rgen Beyerer is a full professor for informatics at the Institute for Anthropomatics and Robotics at the Karlsruhe Institute of Technology KIT and director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Research interests include automated visual inspection, signal and image processing, active vision, metrology, information theory, fusion of data and information from heterogeneous sources, system theory, autonomous systems and automation. Dr. Maria Krantz is a Postdoc at the Helmut Schmidt University in Hamburg. Her main research interests are causality in Cyber-Physical Systems and applications of diagnosis algorithms in production systems.  Dr. Christian KĂ¼hnert is senior scientist at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. His research interests are in the field of machine-learning, data-fusion and data analytics for cyber-physical systems.
Release date NZ
May 17th, 2024
Contributors
  • Edited by Christian Kuhnert
  • Edited by Jurgen Beyerer
  • Edited by Maria Krantz
  • Edited by Oliver Niggemann
Pages
106
Edition
1st ed. 2024
Audience
  • Professional & Vocational
Illustrations
131 Illustrations, color; 7 Illustrations, black and white; VII, 106 p. 138 illus., 131 illus. in color.
ISBN-13
9783031470615
Product ID
38192778

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