Cyber-Physical Systems: Intelligent Models and Algorithms / edited by Alla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakov
Contributor(s): Kravets, Alla G, editor literario | Bolshakov, Alexander A, editor literario | Shcherbakov, Maxim, editor literario
Material type:
E-bookSeries: (Studies in Systems Decision and Control, 2198-4190; 417).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (IX, 279 páginas) : 111 ilustraciones, 60 ilustraciones a color.ISBN: 9783030951160.Subject: Ordenadores personales
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK7895 .E42 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.28102258 |
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Bio-inspired modelling -- Fuzzy models and algorithms -- Predictive modelling -- Computer Vision and Image Processing.
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.
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