Dear Colleagues, Students and /Fellows,

We are editing a Springer Book entitled “Advanced AI and Internet of Health Things Technologies for Combating Pandemic”. The Book will be  published by Springer Book series "Internet of Things" https://www.springer.com/series/11636

We cordially invite you to contribute a chapter. The full chapter is due later this year but for now, We will just need the following:
- Author List
- Chapter Title
- Abstract (between 2 and 6 sentences)

The last deadline to submit your short abstract directly at lahby@ieee.org is  May, 16th, 2022 (Firm deadline)

NB: There are no submission or acceptance fees for manuscripts submitted to this book for publication

The tentative structure of the book (but are not limited to the following Parts) is mentioned below:

PART 1: State-of-the-Art and Healthcare 5.0

• Chapter 1. Machine Learning Techniques for Pandemic Forecasting: Survey
• Chapter 2. Deep Learning Techniques for Pandemic Forecasting :Survey
• Chapter 3.  Machine Learning in Healthcare 5.0 Research: Survey

PART 2:  Machine learning Techniques and Pandemic/COVID-19

• Chapter 4. Machine learning Models for combating pandemic
• Chapter 5. Machine learning techniques for predicting Mental Health
• Chapter 6. Artificial Intelligence Techniques in the Fight Against  COVID-19
• Chapter 7. Gene expression analyses and Pandemic/COVID-19
• Chapter 8. Explainable AI for  Predicting COVID-19 patients

PART 3: Deep Learning Models and Pandemic/COVID-19

• Chapter 9. Effective Screening and Face Mask  for Pandemic/COVID-19
• Chapter 10. Deep Convolutional Neural Network and COVID-19
• Chapter 11. CT Scan Images and COVID-19
• Chapter 12. Large scale lung COVID-19 CT image segmentation
• Chapter 13. COVID-19 information retrieval Tweets and  Deep
• Learning Model
• Chapter 14. Chest X-ray Images and Deep Learning for combating Pandemic/COVID-19

PART 4: Internet of Health Things for Combating  Pandemic/COVID-19

• Chapter 15. IoT Solutions for Combating Pandemic/COVID-19
• Chapter 16. Machine Learning based IoT Solutions for Combating  Pandemic/COVID-19
• Chapter 17. Deep Learning based IoT Solutions for Combating  Pandemic/COVID-19
• Chapter 18. Internet of Medical Things (IoMT) for Combating  Pandemic/COVID-19
• Chapter 19. Remote assisted living and IoHT
• Chapter 20. Security of Internet of Medical Things

PART 5: Case Studies and Frameworks  for Combating  Pandemic/COVID-19

• Chapter 21. Case studies and Pandemic/COVID-19
• Chapter 22.Frameworks and Pandemic/COVID-19

Looking forward to hearing from you soon. Feel free to share with your network as well

Best regards