fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

Site Breadcrumb

Verkauf durch Sack Fachmedien

Hassanien / Elghamrawy / Dey

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

Medium: Buch
ISBN: 978-3-030-55257-2
Verlag: Springer International Publishing
Erscheinungstermin: 13.10.2020
In den Warenkorb
Lieferfrist: bis zu 10 Tage
Auf die Merkliste Drucken

Leseprobe
Überschrift

Beschreibung

Kostenloser Versand

nach Deutschland, Österreich und in die Schweiz

Bequem zahlen

Rechnung, Kreditkarte, PayPal oder Bankeinzug

Wir sind gerne für Sie da

0800 000-1378 (Inland)
service@fachmedien.de
<<Kontaktformular>>

Fragen

Fragen Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua
Anwtorten

Anwtorten At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet

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. 

Produkteigenschaften

  • Artikelnummer: 9783030552572
  • Medium: Buch
  • ISBN: 978-3-030-55257-2
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 13.10.2020
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2020
  • Serie: Studies in Big Data
  • Produktform: Gebunden
  • Gewicht: 647 g
  • Seiten: 307
  • Format (B x H x T): 160 x 241 x 23 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

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