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020 _a9789811674693
024 7 _a10.1007/978-981-16-7469-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.B45
_b2022 EB
245 0 0 _a2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City :
_bVolume 2
_cedited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXVIII, 1213 páginas)
_b268 ilustraciones, 173 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4520
_v103
520 _aThis book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9495511
_aDatos masivos
_vCongresos y asambleas
650 7 _2embne
_9670332
_aCiudades inteligentes
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9789811674686
776 0 8 _iPrinted edition:
_z9789811674709
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-7469-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI