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001442074 001__ 1442074
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001442074 020__ $$a9783030747619$$q(electronic bk.)
001442074 020__ $$a3030747611$$q(electronic bk.)
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001442074 0247_ $$a10.1007/978-3-030-74761-9$$2doi
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001442074 049__ $$aISEA
001442074 050_4 $$aRA644.C67$$bU43 2022eb
001442074 08204 $$a614.5/92414$$223
001442074 24500 $$aUnderstanding COVID-19 :$$bthe role of computational intelligence /$$cJanmenjoy Nayak, Bighnaraj Naik, Ajith Abraham, editors.
001442074 264_1 $$aCham :$$bSpringer,$$c[2022]
001442074 264_4 $$c©2022
001442074 300__ $$a1 online resource (xv, 569 pages : illustrations (chiefly color))
001442074 336__ $$atext$$btxt$$2rdacontent
001442074 337__ $$acomputer$$bc$$2rdamedia
001442074 338__ $$aonline resource$$bcr$$2rdacarrier
001442074 347__ $$atext file
001442074 347__ $$bPDF
001442074 4901_ $$aStudies in computational intelligence ;$$vvolume 963
001442074 50500 $$gPart I.$$tLearning from Various Modalities of COVID-19 Data --$$tCOVID-19 Pandemic: Theory, Concepts and Challenges --$$tEvolutionary Algorithm Based Summarization for Analyzing COVID-19 Medical Reports --$$tChest CT in COVID-19 Pneumonia: Potentials and Limitations of Radiomics and Artificial Intelligence --$$tUse of Deep Learning Based Frameworks on Pixel Scaled Images of Chest CT Scans for Detection of COVID-19 --$$g(4 other papers) --$$gPart II$$tPrediction and Risk Analysis of COVID-19 Susceptibility --$$g(8 papers) --$$gPart III$$tCombating COVID-19 with Advanced Computational Intelligence Techniques$$g(7 papers).
001442074 506__ $$aAccess limited to authorized users.
001442074 520__ $$aThis book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.
001442074 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
001442074 650_0 $$aCOVID-19 (Disease)$$xData processing.
001442074 650_0 $$aComputational intelligence.
001442074 650_6 $$aCOVID-19$$xInformatique.
001442074 650_6 $$aIntelligence informatique.
001442074 655_0 $$aElectronic books.
001442074 7001_ $$aNayak, Janmenjoy,$$eeditor.
001442074 7001_ $$aNaik, Bighnaraj,$$eeditor.
001442074 7001_ $$aAbraham, Ajith,$$d1968-$$eeditor.
001442074 77608 $$iPrint version:$$tUnderstanding COVID-19.$$dCham : Springer, [2022]$$z3030747603$$z9783030747602$$w(OCoLC)1243351590
001442074 830_0 $$aStudies in computational intelligence ;$$vv. 963.
001442074 852__ $$bebk
001442074 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-74761-9$$zOnline Access$$91397441.1
001442074 909CO $$ooai:library.usi.edu:1442074$$pGLOBAL_SET
001442074 980__ $$aBIB
001442074 980__ $$aEBOOK
001442074 982__ $$aEbook
001442074 983__ $$aOnline
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