000945370 000__ 04069cam\a2200529Mi\4500 000945370 001__ 945370 000945370 005__ 20230306152517.0 000945370 006__ m\\\\\o\\d\\\\\\\\ 000945370 007__ cr\nn\nnnunnun 000945370 008__ 201012s2020\\\\gw\\\\\\o\\\\\|||\0\eng\d 000945370 019__ $$a1200307533 000945370 020__ $$a3030552586 000945370 020__ $$a9783030552589 000945370 020__ $$z3030552578 000945370 020__ $$z9783030552572 000945370 0247_ $$a10.1007/978-3-030-55258-9$$2doi 000945370 035__ $$aSP(OCoLC)on1204151021 000945370 035__ $$aSP(OCoLC)1204151021$$z(OCoLC)1200307533 000945370 040__ $$aSFB$$beng$$cSFB$$dOCLCO$$dYDX 000945370 049__ $$aISEA 000945370 050_4 $$aTA345-345.5 000945370 08204 $$a620.00285$$223 000945370 24500 $$aBig Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach /$$cedited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy. 000945370 250__ $$a1st ed. 2020. 000945370 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint: Springer,$$c2020. 000945370 300__ $$a1 online resource (XI, 307 pages) :$$billustrations. 000945370 336__ $$atext$$btxt$$2rdacontent 000945370 337__ $$acomputer$$bc$$2rdamedia 000945370 338__ $$aonline resource$$bcr$$2rdacarrier 000945370 4901_ $$aStudies in Big Data,$$x2197-6503 ;$$v78 000945370 5050_ $$aCoronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O's Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. 000945370 506__ $$aAccess limited to authorized users. 000945370 520__ $$aThis book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19. . 000945370 650_0 $$aEngineering$$xData processing. 000945370 650_0 $$aArtificial intelligence. 000945370 650_0 $$aComputational intelligence. 000945370 650_0 $$aBiomedical engineering. 000945370 650_0 $$aEpidemiology. 000945370 650_0 $$aBig data. 000945370 7001_ $$aHassanien, Aboul-Ella.$$eeditor. 000945370 7001_ $$aDey, Nilanjan.$$eeditor. 000945370 7001_ $$aElghamrawy, Sally.$$eeditor. 000945370 830_0 $$aStudies in big data ;$$v78.$$x2197-6503 000945370 852__ $$bebk 000945370 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-55258-9$$zOnline Access$$91397441.1 000945370 909CO $$ooai:library.usi.edu:945370$$pGLOBAL_SET 000945370 980__ $$aEBOOK 000945370 980__ $$aBIB 000945370 982__ $$aEbook 000945370 983__ $$aOnline 000945370 994__ $$a92$$bISE