Chapter 1 Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic
Chapter 2 COVID-19 TravelCover Post-lockdown Smart Transportation Management System for COVID-19
Chapter 3 Diverse techniques applied for effective diagnosis of COVID 19
Chapter 4 A Review on Detection of Covid-19 Patients using Deep Learning Techniques.-Chapter 5 Internet of Health Things (IoHT) for COVID 19
Chapter 6 Diagnosis for COVID-19
Chapter 7 IoT in Combating Covid 19 Pandemics Lessons for Developing Countries
Chapter 8 Machine learning approaches for COVID 19 pandemic
Chapter 9 Smart sensing for COVID 19 Pandemic
Chapter 10 eHealth, mHealth and Telemedicine for COVID-19 pandemic
Chapter 11 Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters
Chapter 12 Bioinformatics in Diagnosis of Covid-19
Chapter 13 Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques
Chapter 14 LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data
Chapter 15 An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning
Chapter 16 Analysis of Blockchain Backed Covid19 Data
Chapter 17 Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting a contribution and a brief review
Chapter 18 Machine learning approaches for temporal and spatio-temporal Covid-19 forecasting a brief review and a contribution
Chapter 19 Image Reconstruction for COVID-19 using Multi-frequency Electrical Impedance Tomography.