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|a 9783030552589 (online)
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|a TA345-345.5
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|a Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
|h [electronic resource]
|c edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy.
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| 250 |
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|a 1st ed. 2020.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2020.
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| 490 |
1 |
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|a Studies in Big Data,
|x 2197-6511 ;
|v 78
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| 505 |
0 |
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|a Coronavirus 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.
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| 520 |
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|a This 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 |
|a Engineering—Data processing.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Computational intelligence.
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| 650 |
|
0 |
|a Biomedical engineering.
|
| 650 |
|
0 |
|a Epidemiology.
|
| 650 |
|
0 |
|a Big data.
|
| 700 |
1 |
|
|a Hassanien, Aboul-Ella.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Dey, Nilanjan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Elghamrawy, Sally.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Computer Science eBooks 2020 English/International
|d Springer Nature
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030552572
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030552596
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030552602
|
| 776 |
1 |
|
|t Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
|
| 830 |
|
0 |
|a Studies in Big Data,
|x 2197-6511 ;
|v 78
|
| 856 |
4 |
0 |
|y Access Content Online(from Springer Computer Science eBooks 2020 English/International)
|u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-3-030-55258-9
|z Springer Computer Science eBooks 2020 English/International: 2020
|
