1.

Record Nr.

UNINA9910556888403321

Titolo

Cyber-Physical Systems: Intelligent Models and Algorithms / / edited by Alla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakov

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

3-030-95116-2

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (277 pages)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 417

Disciplina

006.22

Soggetti

Cooperating objects (Computer systems)

Computational intelligence

Engineering - Data processing

Cyber-Physical Systems

Computational Intelligence

Data Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Bio-inspired modelling -- Fuzzy models and algorithms -- Predictive modelling -- Computer Vision and Image Processing.

Sommario/riassunto

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.