Main description:

It will involve the most up-to-date state-of-the-art related to significant health pandemics such as the COVID-19 diagnosis and tracking. It will be of utmost importance in the AI field and will enrich this industry with new and innovative operational ideas. Furthermore, this book will be of interest to researchers, scientists, advanced students and academics.

Contents:

1. IoT and Machine Learning based smart healthcare system for monitoring patient. 2. Detection and Diagnosis of COVID-19 from chest X-ray images using Deep Learning. 3. Analyzing the Stages of Diabetic Retinopathy Using Deep Learning Techniques. 4. COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier. 5. Deep Learning and Transfer Learning Models For Detection of COVID-19. 6. Industry 4.0 Challenges and Applications in Healthcare Industry with Emerging Technologies. 7. Cyber-security Countermeasures, and Vulnerabilities to Prevent Social-Engineering Attacks. 8. Development of a Covid-19 Tracking System. 9. Creating a Cooling System App for Patients Who Are Immobile. 10. An Overview of Autonomous Perception for Robotic Arm. 11. Artificial intelligence-based methods for SARS-CoV-2 detection with CRISPR systems.