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020 _a9783030951160
024 7 _a10.1007/978-3-030-95116-0
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK7895.E42
_b2022 EB
245 0 0 _aCyber-Physical Systems: Intelligent Models and Algorithms
_cedited by Alla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakov
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (IX, 279 páginas)
_b111 ilustraciones, 60 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4190
_v417
505 0 _aBio-inspired modelling -- Fuzzy models and algorithms -- Predictive modelling -- Computer Vision and Image Processing.
520 _aThis 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.
988 _aSpringer_Engineering_2022
650 7 _2embne
_9138712
_aOrdenadores personales
700 1 _aKravets, Alla G
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBolshakov, Alexander A
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aShcherbakov, Maxim
_eeditor literario
_0(orcid)0000-0001-7173-4499
_1https://orcid.org/0000-0001-7173-4499
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030951153
776 0 8 _iPrinted edition:
_z9783030951177
776 0 8 _iPrinted edition:
_z9783030951184
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95116-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2022
_dz
_eb
_zSI