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hassanien aboul-ella (curatore); dey nilanjan (curatore); elghamrawy sally (curatore) - big data analytics and artificial intelligence against covid-19: innovation vision and approach

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

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 10/2020
Edizione: 1st ed. 2020





Trama

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. 





Sommario

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










Altre Informazioni

ISBN:

9783030552572

Condizione: Nuovo
Collana: Studies in Big Data
Dimensioni: 235 x 155 mm Ø 647 gr
Formato: Copertina rigida
Illustration Notes:XI, 307 p. 169 illus., 130 illus. in color.
Pagine Arabe: 307
Pagine Romane: xi


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