Artificial Intelligence Applications in a Pandemic

COVID-19
Herausgeber: Elhoseny, Mohamed; Singh, Vrijendra; Krit, Salah-Ddine

• Broschiertes Buch

Produktbeschreibung

The book demonstrates unique and useful applications of AI, in particular COVID-19 and examines the challenges in the advancement of artificial intelligence in advance medical science. It will be useful to undergrad and postgraduate students, analysts, academicians, and high quality researches between digital healthcare technologies.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 156
• Erscheinungstermin: 27. Mai 2024
• Englisch
• Abmessung: 234mm x 156mm x 9mm
• Gewicht: 248g
• ISBN-13: 9780367647742
• ISBN-10: 0367647745
• Artikelnr.: 70352643

Autorenporträt

Salah-ddine Krit is currently an Associate Professor at the Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University Agadir Morocco. Dr. Krit is currently The Director of Engineering Science and Energies Laboratory and The Chief of Department of Mathematics, Informatics and Management. Vrijendra Singh is presently an Associate Professor & Head, at Department of Information Technology, Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa. Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Yashbir Singh is currently Medical Scientist at the Heart and Vascular Institute, WVU Medicine, USA.

Inhaltsangabe

1. Role of Artificial Intelligence in COVID
19. 2. Application of 3D printing in COVID
19. 3. Role of IoT and AI in Covid
19. 4. Potential contributions of AI against COVID
19. 5. Dynamic Animated Plots for Better COVID Cases Analysis: Line, Bar, Bubble Plots using R Programming. 6. A Comparative Study of COVID
19 Data Analysis using R Programming (a SIR Model Prediction). 7. Tracking and Analyzing COVID
19 pandemic using Twitter and Topic Modelling. 8. Artificial Neural Network Application to Analyze 3D Image Printing Using Artificial Intelligence in COVID
19. 9. The Evolution Of Emerging Market (EM) Sovereign CDSs Spreads During COVID
19. 10. Prediction of COVID
19 Data Using Business Intelligence Tools.