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Artificial intelligence and machine learning for COVID-19 PDF

272 Pages·2021·11.037 MB·English
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Studies in Computational Intelligence 924 Fadi Al-Turjman  Editor Artificial Intelligence and Machine Learning for COVID-19 Studies in Computational Intelligence Volume 924 Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence— quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science. More information about this series at http://www.springer.com/series/7092 Fadi Al-Turjman Editor Artificial Intelligence and Machine Learning for COVID-19 Editor Fadi Al-Turjman Professor and Research Center Director Near East University Nicosia, Mersin, Turkey ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-60187-4 ISBN 978-3-030-60188-1 (eBook) https://doi.org/10.1007/978-3-030-60188-1 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland This book is dedicated to my great parents, my wife, and my beloved ones, to honor their major support and encouragement over the course of my entire life. In this way, I wish to express maybe a little part of my great gratitude to them. My mother, thank you very much for the tender care you have been always giving. Your delicious and tasty food is still in my mouth. Great mother, words can never express the deepest gratitude I have for you. You have been there for me my whole life and I love you so much. I mostly admire and love you for the person you are. My father, the greatest of the greatest. The prophet of his age. Throughout his entire life, he has made significant contributions not only in my life, but in numerous other people’s life. He received several honors for his outstanding contributions in this life. However, the most significant one, i believe, was me :) Indeed, he is the brilliant teacher i have ever seen. I owe him a lot, and I believe his support was the key factor in any achievement I have ever made. Thank you very much great father for your sincere love. vi My wife, the lady of my life.. The one who gives without limit. The most honest and sincere person.. I appreciate your kind and continues support during the most difficult times in my life.. without you, this book wouldn’t have seen the light. Also, I shouldn’t forget my parents in law.. The ones who gave me the parents tender when my parents were far away overseas.. really appreciate it. My brother and sisters, the best friends in my life.. the most support I ever have. Thanks for everything.. especially for your beautiful and truly “love”. My little stars, the hope of my life and beyond.. The reason for my hard work and continues success.. I’m very thankful for your gifted presence. I love you all. Fadi Al-Turjman Preface COVID-19, or Coronavirus Disease 2019, was firstly found in animals, and later it has been transferred to humans. The primary source for the transmission of the dis- ease, detection and treatment methods are still unknown. A lot of details about this virus are still missing. Its spread, prevention measures and vaccination issues need to be further investigated. In this field, artificial intelligence (AI) and cloud comput- ing solutions can play a key role, especially the machine learning (ML) sub-field of AI, which can be applied over distributed cloud systems because of its learning- from- samples capability. The trend is to apply deep learning (DL), which is an advanced form of ML techniques considering the advantages of more than one tech- nique. However, complexity, accuracy, fidelity and other critical computing issues are still a challenge. Current cloud-assisted infrastructure includes a number of smart devices having the sensing and data analysis capabilities to allow updates about epidemic diseases to be accessed anytime from anywhere. It has the potential to provide innovative services which could not be possible without the progress made in the cloud and Internet of Things (IoT) field. Owing to their advanced tech- nical capabilities, intelligent computing paradigms are making the way into the treatment and detection of COVID-19 and similar diseases. COVID-19 and similar crisis reaction and coordination, open or private infrastructure control, coordination or support to astute computing systems are a portion of the spaces in which intelli- gent cloud systems may end up key in the medical diagnosis very soon. Moreover, these computing infrastructures will turn into a critical component of the urban monitoring and treatment systems. And thus, there exists a need for merging their traditional usage that gathers data with the existing/forthcoming computing technologies. This book aims to provide an overview of original ongoing research attempts, which contributes to the current state of the art by reporting results for the used ML techniques in the problem scope of cloud-assisted COVID-19 and similar diagnosis. It will shed light on potential cloud computing, big data, artificial intelligence, IoT and other modern information processing technologies that can build the required online and cost-efficient medical service platforms. These platforms will be able to provide online services for people such as COVID-19 intelligent screening, vii viii Preface characteristic symptom monitoring and screening, online consultation, drug distri- bution, psychological consultation and epidemic prevention. Hope you enjoy it. Nicosia, Mersin, Turkey Fadi Al-Turjman Contents 1 Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Bethel Chukwudi Okara and Fadi Al-Turjman 2 A Review on COVID-19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Tanuj Bhatt, Vimal Kumar, Sagar Pande, Rahul Malik, Aditya Khamparia, and Deepak Gupta 3 Artificial Intelligence in face of the Novel CoronaVirus . . . . . . . . . . . 43 Maram Arto and Fadi Al-Turjman 4 Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global, and Industry Perspectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Adarsh Kumar and Kriti Sharma 5 A Deep Analysis and Prediction of COVID- 19 in India: Using Ensemble Regression Approach . . . . . . . . . . . . . . . . . . . . . . . . . 97 Dimple Tiwari and Bhoopesh Singh Bhati 6 Image Enhancement in Healthcare Applications: A Review . . . . . . . . 111 Kamil Dimililer and Devrim Kayalı 7 Deep Learning Approach Using 3D-ImpCNN Classification for Coronavirus Disease . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 Murugan Subramaniyan, Arumugam Sampathkumar, Deepak Kumar Jain, Manikandan Ramachandran, Rizwan Patan, and Ambeshwar Kumar ix

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