Vai al contenuto principale della pagina
Titolo: |
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy
![]() |
Pubblicazione: | Springer International Publishing, 2020 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
Disciplina: | 610.28563 |
Soggetto topico: | Engineering - Data processing |
Artificial intelligence | |
Computational intelligence | |
Biomedical engineering | |
Epidemiology | |
Big data | |
Data Engineering | |
Artificial Intelligence | |
Computational Intelligence | |
Biomedical Engineering and Bioengineering | |
Big Data | |
Persona (resp. second.): | DeyNilanjan |
ElghamrawySally | |
HassanienAboul Ella | |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Big data analytics and artificial intelligence against COVID-19 ![]() |
ISBN: | 3-030-55258-6 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910863181503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |