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001432327 020__ $$a9789811585340$$q(electronic bk.)
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001432327 0247_ $$a10.1007/978-981-15-8534-0$$2doi
001432327 035__ $$aSP(OCoLC)1204135526
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001432327 049__ $$aISEA
001432327 050_4 $$aQ342$$b.C66 2021eb
001432327 08204 $$a006.3$$223
001432327 24500 $$aComputational intelligence methods in COVID-19 :$$bsurveillance, prevention, prediction and diagnosis /$$cKhalid Raza, editor.
001432327 264_1 $$aSingapore :$$bSpringer,$$c2021.
001432327 264_4 $$c©2021
001432327 300__ $$a1 online resource (xix, 436 pages)
001432327 336__ $$atext$$btxt$$2rdacontent
001432327 337__ $$acomputer$$bc$$2rdamedia
001432327 338__ $$aonline resource$$bcr$$2rdacarrier
001432327 347__ $$atext file
001432327 347__ $$bPDF
001432327 4901_ $$aStudies in Computational Intelligence ;$$vv. 923
001432327 504__ $$aIncludes bibliographical references.
001432327 50500 $$gPart I.$$tComputational Intelligence and COVID-19 Preliminaries --$$tAn Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis --$$tRole of Computational Intelligence against COVID-19 --$$gPart II.$$tComputational Intelligence in Surveillance and Prevention of COVID-19 Infection --$$tUsing Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks --$$tSocial Network Analysis for the Identification of Key Spreaders during COVID-19 --$$tMobile Technology Solution for COVID -19: Surveillance and Prevention --$$tThe Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic --$$gPart III.$$tComputational Intelligence in Prediction and Diagnosis of COVID-19 --$$tA Review on Predictive Systems and Data Models for COVID-19 --$$tA Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India --$$tComputational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch --$$tCOVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch --$$tComputational Intelligence Methods for the Diagnosis of COVID-19 --$$tRapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection --$$tComputational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections --$$gPart IV.$$tComputational Intelligence in Drug Design and Drug Repurposing --$$tComputational Intelligence in Drug Repurposing for COVID-19 --$$tCOVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline --$$tComputational Intelligence in Vaccine Design Against COVID-19 --$$gPart V.$$tBig Data, Intelligent IoMT, and Image Processing to Combat COVID-19 --$$tBig Data Analytics for Understanding and Fighting COVID-19 --$$tIoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation --$$tAdvances in Intelligent Based Internet of Medical Things (IoMT) for COVID-19: Olfactory Disorders --$$tIntegrating M-Health with IoMT to Counter COVID-19 --$$tDigital Image Analysis Is a Silver Bullet to COVID-19 Pandemic --$$tNon Linear Tensor Diffusion Based Unsharp Masking for Filtering of COVID-19 CT Images.
001432327 506__ $$aAccess limited to authorized users.
001432327 520__ $$aThe novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.
001432327 588__ $$aDescription based on print version record.
001432327 650_0 $$aComputational intelligence.
001432327 650_0 $$aCOVID-19 (Disease)$$xData processing.
001432327 650_0 $$aArtificial intelligence$$xMedical applications.
001432327 650_6 $$aIntelligence informatique.
001432327 650_6 $$aCOVID-19$$xInformatique.
001432327 650_6 $$aIntelligence artificielle en médecine.
001432327 655_0 $$aElectronic books.
001432327 7001_ $$aRaza, Khalid.
001432327 77608 $$iPrint version:$$aRaza, Khalid.$$tComputational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis.$$dSingapore : Springer Singapore Pte. Limited, ©2020$$z9789811585333
001432327 830_0 $$aStudies in computational intelligence ;$$vv. 923.
001432327 852__ $$bebk
001432327 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-8534-0$$zOnline Access$$91397441.1
001432327 909CO $$ooai:library.usi.edu:1432327$$pGLOBAL_SET
001432327 980__ $$aBIB
001432327 980__ $$aEBOOK
001432327 982__ $$aEbook
001432327 983__ $$aOnline
001432327 994__ $$a92$$bISE