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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Details
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.
Presents big data analytics tools and Artificial Intelligence (AI) techniques, useful for the fight against COVID-19 Focuses on the integration between Big Data Analytics tools and Artificial Intelligence technologies in order to help healthcare workers for early and accurately diagnosing COVID-19 cases Exhibits state-of-the-art research challenges, results, architecture, applications, and other achievements related to the area of AI/Big data to COVID-19
Inhalt
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
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030552602
- Genre Technology Encyclopedias
- Auflage 1st edition 2020
- Editor Aboul-Ella Hassanien, Sally Elghamrawy, Nilanjan Dey
- Lesemotiv Verstehen
- Anzahl Seiten 320
- Herausgeber Springer International Publishing
- Größe H235mm x B155mm x T18mm
- Jahr 2021
- EAN 9783030552602
- Format Kartonierter Einband
- ISBN 3030552608
- Veröffentlichung 14.10.2021
- Titel Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
- Untertitel Studies in Big Data 78
- Gewicht 487g
- Sprache Englisch