Artificial Intelligence and Machine Learning for COVID-19.. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cham, Springer., 2021
Serie: Libro 444 di 538 - Studies in Computational Intelligence
- Rilegato
- Usato

Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermaniaUniversitätsbuchhandlung Herta Hold GmbH
Venditore AbeBooks dal 9 aprile 2003
Condizione: Usato
EUR 12,00
Descrizione dell’articolo da parte del venditore
x, 266 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Codice articolo 10634JB
- Titolo
- Artificial Intelligence and Machine Learning for COVID-19.
- Autore
- Al-Turjman, F.:
- Editore
- Cham, Springer.
- Anno di pubblicazione
- 2021
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 3030601870
- ISBN 13
- 9783030601874
- Serie
- Libro 444 di 538: Studies in Computational Intelligence
- Cataloghi dei venditori
- Informatik
This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.
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