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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juni 2024
Genre:	Naturwissensch., Medizin, Technik
	Automaticvalidation / Computerhardware / computerscience / cyber-physicalsystems / Elektronik / Künstliche Intelligenz (KI) / machinelearning / Mathematische Modellierung / networkarchitecture / neuralnetworks / OpenAccess mehr...
ISBN:	9783031470615
EAN-Code:	9783031470615
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 240 mm / B 168 mm / D 8 mm
Gewicht:	277 gr
Seiten:	140
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.