Artificial Intelligence and Machine Learning for COVID-19,Fadi Al-Turjman

About this book

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.

-Contents

1 Smart Technologies for COVID-19:​ The Strategic Approaches in Combating the Virus

Bethel Chukwudi Okara and Fadi Al-Turjman

2 A Review on COVID-19,Tanuj Bhatt, Vimal Kumar, Sagar Pande, Rahul Malik, Aditya Khamparia and Deepak Gupta

3 Artificial Intelligence in face of the Novel CoronaVirus,Maram Arto and Fadi Al-Turjman

4 Digital Transformation and Emerging Technologies for COVID-19 Pandemic:​ Social, Global, and Industry Perspectives ,Adarsh Kumar and Kriti Sharma

5 A Deep Analysis and Prediction of COVID-19 in India:​ Using Ensemble Regression Approach ,Dimple Tiwari and Bhoopesh Singh Bhati

6 Image Enhancement in Healthcare Applications:​ A Review,Kamil Dimililer and Devrim Kayalı

7 Deep Learning Approach Using 3D-ImpCNN Classification for Coronavirus Disease

Murugan Subramaniyan, Arumugam Sampathkumar, Deepak Kumar Jain, Manikandan,Ramachandran, Rizwan Patan and Ambeshwar Kumar

8 Drone-Based Social Distancing, Sanitization, Inspection, Monitoring, and Control Room for COVID-19 ,Adarsh Kumar, Kriti Sharma, Harvinder Singh, P. Srikanth, Rajalakshmi Krishnamurthi and Anand Nayyar

9 Application of AI Techniques for COVID-19 in IoT and Big Data Era:​ A Survey,Adedoyin A. Hussain, Barakat A. Dawood and Fadi Al-Turjman

10 Application of IoT, AI, and 5G in the Fight Against the COVID-19 Pandemic,Mubarak Ahmad Muhammad and Fadi Al-Turjman

11 AI Techniques for Resource Management During COVID-19,Bandana Mahapatra

Index

-Caractéristiques

Date de  parution:20 février 2021

Éditeur : Springer Nature  

Langue : Anglais

NB.de pages: 266 pages

ISBN-10 : 3030601870

ISBN-13 : 978-3030601874

Poids de l’article : 582 g

Dimensions : 15.6 x 1.75 x 23.39 cm