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008 210723s2022 sz | s |||| 0|eng d
020 _a9783030773021
024 7 _a10.1007/978-3-030-77302-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRA644.C67
_b2022 EB
245 0 0 _aAdvances in Data Science and Intelligent Data Communication Technologies for COVID-19 :
_bInnovative Solutions Against COVID-19
_cedited by Aboul-Ella Hassanien, Sally M. Elghamrawy, Ivan Zelinka
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XV, 306 páginas)
_b76 ilustraciones, 66 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
_v378
505 0 _aAdvances in Data Science and Intelligent Data Communication -- Innovative Solutions Against COVID-19 -- Studies in Systems.
520 _aThis book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9683668
_aCOVID-19
776 0 8 _iPrinted edition:
_z9783030773014
776 0 8 _iPrinted edition:
_z9783030773038
776 0 8 _iPrinted edition:
_z9783030773045
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-77302-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eu
_zSI