Fr. 150.00

Artificial Intelligence Applications in a Pandemic - Covid-19

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

Descrizione

Ulteriori informazioni










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.

Sommario










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.


Info autore










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.


Riassunto

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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