Artificial Intelligence and Machine Learning for COVID-19

Fadi Al-Turjman (Curatore)

Springer Nature Switzerland AG, 2021

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.

• Curatore: Fadi Al-Turjman
• Editore: Springer Nature Switzerland AG
• Collana: Studies in Computational Intelligence
• Anno: 2021
• Rilegatura: Hardback
• Pagine: 266 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030601874

Testo in English