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001434391 001__ 1434391
001434391 003__ OCoLC
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001434391 019__ $$a1238162622$$a1244116304
001434391 020__ $$a3030601889$$q(electronic book)
001434391 020__ $$a9783030601881$$q(electronic bk.)
001434391 020__ $$z3030601870
001434391 020__ $$z9783030601874
001434391 0247_ $$a10.1007/978-3-030-60188-1$$2doi
001434391 035__ $$aSP(OCoLC)1239981601
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001434391 049__ $$aISEA
001434391 050_4 $$aR859.7.A78
001434391 08204 $$a610.285/63$$223
001434391 24500 $$aArtificial intelligence and machine learning for COVID-19 /$$cFadi Al-Turjman, editor.
001434391 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001434391 300__ $$a1 online resource (x, 266 pages) :$$billustrations
001434391 336__ $$atext$$btxt$$2rdacontent
001434391 337__ $$acomputer$$bc$$2rdamedia
001434391 338__ $$aonline resource$$bcr$$2rdacarrier
001434391 347__ $$atext file
001434391 347__ $$bPDF
001434391 4901_ $$aStudies in computational intelligence ;$$vvolume 924
001434391 504__ $$aIncludes bibliographical references and index.
001434391 5050_ $$aSmart technologies for COVID-19 : the strategic approaches in combating the virus -- A review on COVID-19 -- Artificial intelligence in the face of the novel corona virus -- Digital transformation and emerging technologies for COVID-19 Pandemic : social, global and industry perspectives -- A deep analysis and prediction of COVID-19 in India : using ensemble regression approach -- Image enhancement in healthcare applications : a review -- Deep learning approach using 3D-ImpCNN classification for coronavirus disease -- Drone-based social distancing, sanitisation, inspection, monitoring and control room for COVID-19 -- Application of AI techniques for COVID-19 in IoT and big-data era : a survey -- Application of IoT, AI and 5G in the fight against the COVID-19 Pandemic -- AI techniques for resource management during COVID-19.
001434391 506__ $$aAccess limited to authorized users.
001434391 520__ $$aThis book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Includes advances related to COVID-19 diagnosis and tracking through artificial intelligence and machine learning; Enriches the fields of AI and ML with new and innovative operational ideas aimed at aiding in efforts to combat and track COVID-19; Pertains to researchers, scientists, engineers, and practitioners in the field of computing and smart cities technologies.
001434391 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 19, 2021).
001434391 647_7 $$aCOVID-19 Pandemic$$d(2020- )$$2fast$$0(OCoLC)fst02024716
001434391 650_0 $$aCOVID-19 (Disease)$$xData processing.
001434391 650_0 $$aCOVID-19 Pandemic, 2020-$$xData processing.
001434391 650_0 $$aArtificial intelligence$$xMedical applications.
001434391 650_0 $$aMachine learning.
001434391 650_6 $$aCOVID-19$$xInformatique.
001434391 650_6 $$aPandémie de COVID-19, 2020-$$xInformatique.
001434391 650_6 $$aIntelligence artificielle en médecine.
001434391 650_6 $$aApprentissage automatique.
001434391 655_0 $$aElectronic books.
001434391 7001_ $$aAl-Turjman, Fadi,$$eeditor.
001434391 77608 $$iPrint version:$$z9783030601874
001434391 830_0 $$aStudies in computational intelligence ;$$vv. 924.
001434391 852__ $$bebk
001434391 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60188-1$$zOnline Access$$91397441.1
001434391 909CO $$ooai:library.usi.edu:1434391$$pGLOBAL_SET
001434391 980__ $$aBIB
001434391 980__ $$aEBOOK
001434391 982__ $$aEbook
001434391 983__ $$aOnline
001434391 994__ $$a92$$bISE