000 05257nam a22004695i 4500
999 _c368304
_d368304
_x1
001 368304
003 ES-MaUEC
005 20230102121724.0
006 a||||fo|||| 00| 0
007 cr nn 008mamaa
008 211220s2022 si | s |||| 0|eng d
020 _a9789811637834
024 7 _a10.1007/978-981-16-3783-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ342
_b2022 EB
245 1 0 _aComputational Intelligence for COVID-19 and Future Pandemics :
_bEmerging Applications and Strategies
_cedited by Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo
250 _aFirst edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXIV, 424 páginas)
_b189 ilustraciones, 139 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aDisruptive Technologies and Digital Transformations for Society 5.0
_x2730-907X
505 0 _aImage Processing for Computational Intelligence against COVID-19 -- Design of Computational Intelligence against COVID-19 -- Data Processing for Computational Intelligence against COVID-19 -- Geoprocessing/Tracking based Computational Intelligence for COVID-19 -- Computational Intelligence based Diagnosis for COVID-19 -- Predictive Computational Intelligence Systems for COVID-19 -- Computational Intelligence based mobile technology solutions for COVID-19 -- Computational Intelligence based treatment for COVID-19 -- Public Safety oriented Computational Intelligence applications for COVID-19 -- Internet of Health Things (IoHT) against COVID-19 -- Big Data and Computational Intelligence for COVID-19 -- New Data Models to be used by Computational Intelligence against COVID-19 -- Predictive Computational Intelligence for future pandemics -- Future pandemics analyze with Computational Intelligence -- Vaccine / drug discovery with Computational Intelligence against COVID-19 -- Intelligent optimization and Computational Intelligence for pandemics -- Reinforcement Computational Intelligence for pandemics precautions -- Managerial applications by Computational Intelligence for COVID-19 and pandemics.
520 _aThe book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
650 7 _2embne
_aCOVID-19
_9683668
700 1 _aKose, Utku
_eeditor literario
_0(orcid)0000-0002-9652-6415
_1https://orcid.org/0000-0002-9652-6415
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWatada, Junzo
_eeditor literario
_0(orcid)0000-0002-3322-2086
_1https://orcid.org/0000-0002-3322-2086
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDeperlioglu, Omer
_eeditor literario
_0(orcid)0000-0002-7241-5219
_1https://orcid.org/0000-0002-7241-5219
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMarmolejo Saucedo, Jose Antonio
_eeditor literario
_0(orcid)0000-0002-8539-9828
_1https://orcid.org/0000-0002-8539-9828
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811637827
776 0 8 _iPrinted edition:
_z9789811637841
776 0 8 _iPrinted edition:
_z9789811637858
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3783-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2022
_dz
_esc
_zSI