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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

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Cover of 'Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach'

Table of Contents

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    Book Overview
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    Chapter 1 Coronavirus Spreading Forecasts Based on Susceptible-Infectious-Recovered and Linear Regression Model
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    Chapter 2 Virus Graph and COVID-19 Pandemic: A Graph Theory Approach
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    Chapter 3 Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic
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    Chapter 4 Visualization and Prediction of Trends of Covid-19 Pandemic During Early Outbreak in India Using DNN and SVR
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    Chapter 5 The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach
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    Chapter 6 COVID-19 Data Analysis and Innovative Approach in Prediction of Cases
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    Chapter 7 Detection of COVID-19 Using Chest Radiographs with Intelligent Deployment Architecture
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    Chapter 8 COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor
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    Chapter 9 Why Are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images
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    Chapter 10 Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research
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    Chapter 11 Insights of Artificial Intelligence to Stop Spread of COVID-19
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    Chapter 12 AI Based Covid19 Analysis-A Pragmatic Approach
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    Chapter 13 Artificial Intelligence and Psychosocial Support During the COVID-19 Outbreak
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    Chapter 14 Role of the Accurate Detection of Core Body Temperature in the Early Detection of Coronavirus
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    Chapter 15 The Effect CoronaVirus Pendamic on Education into Electronic Multi-modal Smart Education
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    Chapter 16 An H2O’s Deep Learning-Inspired Model Based on Big Data Analytics for Coronavirus Disease (COVID-19) Diagnosis
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    Chapter 17 Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique
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    Chapter 18 Stacking Deep Learning for Early COVID-19 Vision Diagnosis
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Title
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-55258-9
ISBNs
978-3-03-055257-2, 978-3-03-055258-9
Editors

Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy

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