001443577 000__ 05313cam\a2200625Ii\4500 001443577 001__ 1443577 001443577 003__ OCoLC 001443577 005__ 20230310003551.0 001443577 006__ m\\\\\o\\d\\\\\\\\ 001443577 007__ cr\un\nnnunnun 001443577 008__ 220108s2022\\\\si\\\\\\o\\\\\000\0\eng\d 001443577 019__ $$a1290701877$$a1290714764$$a1290813748$$a1290841199$$a1294350121$$a1294369446$$a1296667082 001443577 020__ $$a9789811637834$$q(electronic bk.) 001443577 020__ $$a9811637830$$q(electronic bk.) 001443577 020__ $$z9789811637827 001443577 020__ $$z9811637822 001443577 0247_ $$a10.1007/978-981-16-3783-4$$2doi 001443577 035__ $$aSP(OCoLC)1291315218 001443577 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dYDX$$dGZM$$dOCLCO$$dDCT$$dOCLCF$$dDKU$$dOCLCO$$dOCLCQ 001443577 049__ $$aISEA 001443577 050_4 $$aR859.7.A78 001443577 08204 $$a610.285/63$$223 001443577 24500 $$aComputational intelligence for COVID-19 and future pandemics :$$bemerging applications and strategies /$$cUtku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo, editors. 001443577 264_1 $$aSingapore :$$bSpringer,$$c2022. 001443577 300__ $$a1 online resource (435 pages). 001443577 336__ $$atext$$btxt$$2rdacontent 001443577 337__ $$acomputer$$bc$$2rdamedia 001443577 338__ $$aonline resource$$bcr$$2rdacarrier 001443577 347__ $$atext file$$bPDF$$2rda 001443577 4901_ $$aDisruptive technologies and digital transformations for society 5.0 001443577 5050_ $$aImage Processing for Computational Intelligence against COVID-19 -- Design of Computational Intelligence against COVID-19 -- Data Processing for Computational Intelligence against COVID-19 -- Geoprocessing/Tracking based Computational Intelligence for COVID-19 -- Computational Intelligence based Diagnosis for COVID-19 -- Predictive Computational Intelligence Systems for COVID-19 -- Computational Intelligence based mobile technology solutions for COVID-19 -- Computational Intelligence based treatment for COVID-19 -- Public Safety oriented Computational Intelligence applications for COVID-19 -- Internet of Health Things (IoHT) against COVID-19 -- Big Data and Computational Intelligence for COVID-19 -- New Data Models to be used by Computational Intelligence against COVID-19 -- Predictive Computational Intelligence for future pandemics -- Future pandemics analyze with Computational Intelligence -- Vaccine / drug discovery with Computational Intelligence against COVID-19 -- Intelligent optimization and Computational Intelligence for pandemics -- Reinforcement Computational Intelligence for pandemics precautions -- Managerial applications by Computational Intelligence for COVID-19 and pandemics. 001443577 506__ $$aAccess limited to authorized users. 001443577 520__ $$aThe book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world. 001443577 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2022). 001443577 650_0 $$aArtificial intelligence$$xMedical applications. 001443577 650_0 $$aComputational intelligence. 001443577 650_0 $$aMedical innovations. 001443577 650_0 $$aCOVID-19 (Disease)$$xData processing. 001443577 650_6 $$aIntelligence artificielle en médecine. 001443577 650_6 $$aIntelligence informatique. 001443577 650_6 $$aMédecine$$xInnovations. 001443577 650_6 $$aCOVID-19$$xInformatique. 001443577 655_0 $$aElectronic books. 001443577 7001_ $$aKose, Utku,$$d1985- 001443577 7001_ $$aWatada, J.$$q(Junzo) 001443577 7001_ $$aDeperlioglu, Omer,$$d1967- 001443577 7001_ $$aMarmolejo Saucedo, Jose Antonio. 001443577 77608 $$iPrint version:$$aKose, Utku$$tComputational Intelligence for COVID-19 and Future Pandemics$$dSingapore : Springer Singapore Pte. Limited,c2021$$z9789811637827 001443577 830_0 $$aDisruptive technologies and digital transformations for society 5.0. 001443577 852__ $$bebk 001443577 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3783-4$$zOnline Access$$91397441.1 001443577 909CO $$ooai:library.usi.edu:1443577$$pGLOBAL_SET 001443577 980__ $$aBIB 001443577 980__ $$aEBOOK 001443577 982__ $$aEbook 001443577 983__ $$aOnline 001443577 994__ $$a92$$bISE