Main description:

This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.

Contents:

Part I State-of-the-art
Chapter 1 Knowledge Graphs for COVID-19: A SurveyMadhupa Minoli and Thanuja D. Ambegoda, University of Moratuwa, Moratuwa, Sri Lanka
Chapter 2Mapping effective practices and frameworks during the AEC industry's combat with COVID-19: scientometric analysisKhalil Idrissi Gartoumi, Mohamed Aboussaleh , Smail Zaki, Moulay Ismail University, Mekness, Morocco
Chapter 3Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive ReviewAli Kadhum Idrees, Balqees Talal Hasan and Sara Kadhum Idrees, University of Babylon, Iraq
Part II. Machine Learning and COVID-19 Pandemic
Chapter 4Machine Learning Algorithms for Classification of COVID-19 using Chest X-Ray Images Shah Hussain Badshah, Muhammad Imad, Abasyn University Peshawar, PakistanIrfan Ullah Khan,Iqra National University, PakistanMuhammad Abul Hassan, Abasyn University Peshawar, Pakistan
Chapter 5Forecasting of COVID-19 cases Using AI and Real-time DataSet Nabeel Khan, Norah K. AlRusayni, Reem K. Alkhodhairi, and Sulaiman Aladhadh, Qassim University, Saudi Arabia
Chapter 6Predicting Covid-19 Using Cough Audio Recordings Nursen Keles and Mete Yaganoglu, Ataturk University, Turkey
Chapter 7Computational Linguistics Techniques in Measuring Genetic Distance of Living Organisms.Iskander Akhmetov, Alexander Gelbukh, Institute of Information and Computational Technologies MSc Information Technology,Almaty,Kazakhstan
Chapter 8Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers amidst COVID-19 PandemicJyoti Sekhar Banerjee, Bengal Institute of Technology, Kolkata, India Arpita Chakraborty, Bengal Institute of Technology, Kolkata, IndiaMufti Mahmud, Trent University, Nottingham, UK Ujjal Kar, Bengal Institute of Technology, Kolkata, IndiaMohamed Lahby, University Hassan II, Higher Normal School of Casablanca, Morocco Gautam SahaClinic Brain Neuropsychiatric Institute and Research Center, Kolkata, India
Part III. Deep Learning and COVID-19 Pandemic
Chapter 9COVID-19 Disease Segmentation using Deep Learning Techniques in CT Scan ImagesMouna Afif, Riadh Ayachi, University of Monastir, TunisiaYahia Said, Northern Border University, Arar, Saudi Arabia Mohamed Atri, King Khalid University, Abha, Saudi Arabia
Chapter 10Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering NetworksRami Zewail, EGYPT-JAPAN UNIVERSITY FOR SCIENCE AND TECHNOLOGY , EGYPT
Chapter 11Development of a Computer Aided Diagnosis System For Detection of COVID-19 Using Transfer Learning Oluwadare Adepeju ADEBISI, John Adedapo OJO, Oluwole Abiodun ADEGBOLA, Olasunkanmi FataiOSENI, University of Technology, Ogbomoso, Nigeria.Oluwashina Akinloye OYENIRAN, Kings University, Ode Omu, Nigeria
Part IV. Internet of Health Things, Blockchain and COVID-19 Pandemic
Chapter 12COVID-19 Detection System in a Smart Hospital Setting using Transfer Learning and IoT-based ModelRoseline Oluwaseun Ogundokun, Kaunas University of Technology, 44249 Kaunas, LithuaniaSanjay Misra, Ostfold University College, 1757 Halden, NorwayAbdulwasiu Bolakale Adelodun, ECWA College of Nursing and Midwifery Egbe, Kogi State, NigeriaManju Khari, Jawaharlal Nehru University, New Delhi, India
Chapter 13A Blockchain-based Secure Framework for Homomorphic AI in IoHT for Tackling COVID-19 PandemicHossain Kordestani, Maidis SAS,Chatou,FranceRoghayeh Mojarad, Abdelghani Chibani, UniversityParis-EstCre teil, FranceKamel Barkaoui,,ConservatoireNational des Arts et Meetiers, Paris, FranceWagdy Zahran, Maidis SAS Chatou,France
Chapter 14Blockchain-Based Solution for Patient Controlled Health Records Sharing for Private Decentralized StorageMeryem Abouali, Kartikeya Sharma, and Tarek Saadawi. City university of NewYork, USA
Part V. Case Studies and Frameworks
Chapter 15On Natural Language Processing to Attack COVID-19 Pandemic: Experiences of VietnamNgoc C. Le, Hai-Chung Nguyen-Phung, Thuy Thu Tran, Hanoi University of Science and Technology, Viet NamNgoc-Uyen Thi Nguyen, Foreign Trade University, Viet NamDang-Khoi Pham Nguyen, University of Science and Technology of Hanoi, Viet NamThanh-Huy Nguyen, Hanoi Open University, Viet Nam
Chapter 16VacciNet: Towards a Reinforcement Learning based Smart Framework for Predicting the Distribution Chain Optimization of Vaccines for a PandemicJayeeta Mondal, Jeet Dutta, Hrishav Bakul Barua, TCS Research, Kolkata, West Bengal, India
Chapter 17AI-based logistics Solutions to tackle COVID-19 Pandemic and ensure a Sustainable financial GrowthHanane Allioui,Cadi Ayyad University, Marrakech, Morocco,Azzeddine Allioui, ESCA School of Management, Casablanca, MoroccoYoussef Mourdi, Cadi Ayyad University, Safi, Morocco,
Chapter 18A Comparative Modeling and Comprehensive Binding Site Analysis of the South African Beta COVID-19 Variant's Spike Protein StructureTaryn Nicole Michael, Ibidun Christiana Obagbuwa, Albert Whata, Kudakwashe Madzima, Sol Plaatje University, Kimberley, South Africa