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Big data analytics and artificial in...

Hassanien, Aboul-Ella.

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Big data analytics and artificial intelligence against COVID-19 = innovation vision and approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analytics and artificial intelligence against COVID-19/ edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy.
其他題名:	innovation vision and approach /
其他作者:	Hassanien, Aboul-Ella.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xi, 307 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease) - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-55258-9
ISBN:	9783030552589

Big data analytics and artificial intelligence against COVID-19 = innovation vision and approach /
Big data analytics and artificial intelligence against COVID-19innovation vision and approach /[electronic resource] :edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy. - Cham :Springer International Publishing :2020. - xi, 307 p. :ill. (some col.), digital ;24 cm. - Studies in big data,v.782197-6503 ;. - Studies in big data ;v.78..

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.

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.

ISBN: 9783030552589

Standard No.: 10.1007/978-3-030-55258-9doiSubjects--Topical Terms:

3486187
COVID-19 (Disease)
--Data processing.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

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