Advanced AI and Internet of Health Things for Combating Pandemics

Chapter 1 Knowledge Graphs for COVID-19: A Survey.- Chapter 2 Mapping effective practices and frameworks during the AEC industry’s combat with COVID-19: scientometric analysis.- Chapter 3 Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive Review.- Chapter 4 Machine Learning Algorithms for Classification of COVID-19 using Chest X-Ray Images.- Chapter 5 Forecasting of COVID-19 cases Using AI and Real-time DataSet.- Chapter 6 Predicting Covid-19 Using Cough Audio Recordings.- Chapter 7 Computational Linguistics Techniques in Measuring Genetic Distance of Living Organisms.- Chapter 8 Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers amidst COVID-19 Pandemic.- Chapter 9 COVID-19 Disease Segmentation using Deep Learning Techniques in CT Scan Images.- Chapter 10 Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks.- Chapter 11 Development of a Computer Aided Diagnosis System For Detection of COVID-19 Using Transfer Learning.- Chapter 12 COVID-19 Detection System in a Smart Hospital Setting using Transfer Learning and IoT-based Model.- Chapter 13 A Blockchain-based Secure Framework for Homomorphic AI in IoHT for Tackling COVID-19 Pandemic.- Chapter 14 Blockchain-Based Solution for Patient Controlled Health Records Sharing for Private Decentralized Storage.- Chapter 15 On Natural Language Processing to Attack COVID-19 Pandemic: Experiences of Vietnam.- Chapter 16 VacciNet: Towards a Reinforcement Learning based Smart Framework for Predicting the Distribution Chain Optimization of Vaccines for a Pandemic.- Chapter 17 AI-based logistics Solutions to tackle COVID-19 Pandemic and ensure a Sustainable financial Growth.- Chapter 18 A Comparative Modeling and Comprehensive Binding Site Analysis of the South African Beta COVID-19 Variant’s Spike Protein Structure.<p></p>