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024 7 _a10.1007/978-3-030-55258-9
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072 7 _aUN
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245 1 0 _aBig Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
_h[electronic resource] /
_cedited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXI, 307 p. 169 illus., 130 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v78
505 0 _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.
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. .
650 0 _aEngineering
_xData processing.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aBiomedical engineering.
650 0 _aEpidemiology.
650 0 _aBig data.
650 1 4 _aData Engineering.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputational Intelligence.
650 2 4 _aBiomedical Engineering and Bioengineering.
650 2 4 _aEpidemiology.
650 2 4 _aBig Data.
700 1 _aHassanien, Aboul-Ella.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDey, Nilanjan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aElghamrawy, Sally.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030552572
776 0 8 _iPrinted edition:
_z9783030552596
776 0 8 _iPrinted edition:
_z9783030552602
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v78
856 4 0 _uhttps://doi.org/10.1007/978-3-030-55258-9
912 _aZDB-2-SCS
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