Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Springer International Publishing (Verlag)
978-3-030-55257-2 (ISBN)
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
Erscheinungsdatum | 14.10.2020 |
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Reihe/Serie | Studies in Big Data |
Zusatzinfo | XI, 307 p. 169 illus., 130 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 637 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Technik | |
Schlagworte | Artificial Intelligence • Big Data • Big Data Analytics • Covid-19 • data engineering • Data Mining |
ISBN-10 | 3-030-55257-8 / 3030552578 |
ISBN-13 | 978-3-030-55257-2 / 9783030552572 |
Zustand | Neuware |
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