Book Nook Join Book Nook

Machine Learning for Cyber-Physical Systems Selected Papers From the International Conference ML4CPS 2023

Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert

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.

GenresComputers & TechnologyComputer ScienceAI & Machine LearningCyberneticsHardware & DIYNetworking & Cloud Computing

129 pages

English edition · First published 2024 by Springer Nature Switzerland · ISBN 9783031470615

Be the first to rate this book

Tap or drag across the stars

Keep track of what you read

Book Nook is a free reading tracker with a 3D bookshelf, a reading timer, challenges with friends and a Reading Wrapped at the end of the year. Add Machine Learning for Cyber-Physical Systems Selected Papers From the International Conference ML4CPS 2023 to your shelf in one tap.

Join Book Nook Get the app