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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Studies in big data 2197-6503 ; 78.
- Studies in Big Data, 2197-6503 ; 78
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Artificial intelligence.
- Computational intelligence.
- Biomedical engineering.
- Epidemiology.
- Big data.
- Data Engineering.
- Artificial Intelligence.
- Computational Intelligence.
- Biomedical Engineering and Bioengineering.
- Big Data.
- Local Subjects:
- Data Engineering.
- Artificial Intelligence.
- Computational Intelligence.
- Biomedical Engineering and Bioengineering.
- Epidemiology.
- Big Data.
- Physical Description:
- 1 online resource (XI, 307 pages) : 169 illustrations, 130 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-55258-9
- 9783030552589
- Access Restriction:
- Restricted for use by site license.
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