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

ISBN-13: 9783030552572 / Angielski / Twarda / 2020 / 307 str.

Aboul-Ella Hassanien; Nilanjan Dey; Sally Elghamrawy

Spis treści

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

Blurb

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.