a ISBN 978-303-060188-1

a ISBN 3-03-060188-9

a ISBN 978-303-060187-4

a Original cataloging agency NEU GrandLibrary

a Classification number WC505

b Item number .A78 2021

a Dewey Classification 610.285/63

a Title Artificial intelligence and machine learning for COVID-19 /

c Statement of responsibility, etc editor: Fadi Al-Turjman.

h Medium BOOK

a Extent 1 online resource

a Series statement Studies in computational intelligence ;

v Volume number/sequential designation volume 924

a Bibliography, etc Includes bibliographical references and index

a Formatted contents note Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus -- A Review on COVID-19 -- Artificial Intelligence in the Face of the Corona Virus -- Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global and Industry Perspectives -- A Deep Analysis and Prediction of COVID-19 in India: Using Ensemble Regression Approach -- Image Enhancement in Healthcare Applications: A Review -- Deep Learning Approach Using 3D-ImpCNN Classification for Coronavirus Disease -- Drone-based Social Distancing, Sanitisation, Inspection, Monitoring and Control Room for COVID-19 -- Application of AI Techniques for COVID-19 in IoT and Big-Data Era: A Survey -- Application of IoT, AI and 5G in the Fight Against the COVID-19 Pandemic -- AI Techniques for Resource Management During COVID-19

a Summary, etc 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. Includes advances related to COVID-19 diagnosis and tracking through artificial intelligence and machine learning; Enriches the fields of AI and ML with new and innovative operational ideas aimed at aiding in efforts to combat and track COVID-19; Pertains to researchers, scientists, engineers, and practitioners in the field of computing and smart cities technologies

a Topical term or geographic name as entry element COVID-19 (Disease)

a Topical term or geographic name as entry element COVID-19 Pandemic, 2020-

a Topical term or geographic name as entry element Artificial intelligence

a Topical term or geographic name as entry element Machine learning.

a Genre/form data or focus term Electronic books

a Personal name Al-Turjman, Fadi,

u Uniform Resource Identifier https://rave.ohiolink.edu/ebooks/ebc2/9783030601881

u Uniform Resource Identifier http://link.springer.com/10.1007/978-3-030-60188-1

u Uniform Resource Identifier http://proxy.ohiolink.edu:9099/login?url=http://link.springer.com/10.1007/978-3-030-60188-1

a Uniform title Studies in computational intelligence ;