Electronic Resource

Artificial Intelligence and Machine Learning for COVID-19

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001537	EB0002143	621.382 Art	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

621.382 Art

Publisher

Switzerland : Springer Cham., 2021

Collation

x, 266p.:Ill

Language

English

ISBN/ISSN

978-3-030-60188-1

Classification

621.382

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Artificial intelligence

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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