Cyber-physical Systems: Intelligent Models and Algorithms: 417 - Rilegato

 
9783030951153: Cyber-physical Systems: Intelligent Models and Algorithms: 417
Rilegato
ISBN 10: 3030951154 ISBN 13: 9783030951153
Casa editrice: Springer Nature, 2022

Sinossi

This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods,  fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods,  fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
3030951154
ISBN 13 
9783030951153
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
292
Redattore
Kravets Alla G., Bolshakov Alexander A., Shcherbakov Maxim
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
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Germania

Altre edizioni note dello stesso titolo

9783030951184: Cyber-Physical Systems: Intelligent Models and Algorithms: 417

Edizione in evidenza

ISBN 10:  3030951189 ISBN 13:  9783030951184
Casa editrice: Springer, 2023
Brossura