Synopsis:

As a result of effective real-world solutions by Artificial Intelligence, humankind has been able to build up smart tools making the daily life more practical. Thanks to advances in hardware components (after the start of 21st century), it has been easier to deal with big, complex data and there has been a great positive momentum in developing hardware based smart tools. Called as the Internet of Things (IoT), the network of communicating devices is among the trendiest research topics for the life with intelligent systems. When the literature of IoT is examined, it can be seen that the rapid developments within this area has caused appear of different research topics. That’s because of critical fields requiring intense use of communicating devices. Undoubtedly, healthcare has a great importance for ensuring people’s well-being and building a sustainable future. Because of that, scientific audience shows unstoppable interest for the topic of IoT and its role in health data analysis.

Nowadays, the humankind is dealing with a fatal disease, which is called as Coronavirus-19 (COVID-19). It has caused a massive emergency state and opened doors of a new future with full control over people’s instant health state and actions. The humankind had often encountered such pandemics in the past but experiencing that again at even almost second quarter of the 21st century has shown the importance of massive health for a better future. In this sense, use of advanced technology is also important to deal with a massive health issue. Since COVID-19 has been a problem for all nations around the world, data analytics and intelligent systems with wide communication capabilities have been intensively used. Except from COVID-19, the world always fights against different health issues (i.e. cancer, alternative viruses, genetic problems) so both current and future world needs evaluation of ‘massive health data’ for ensuring effective solutions.

We welcome book chapter contributions centred (but not exclusively) on the following themes:

1. Essentials of Cognitive IoT for Healthcare

2. Interpretability Problem in IoT for Healthcare

3. Transparent and Black-Box IoT Systems for Healthcare

4. Evaluation of Cognitive Capabilities of IoT in Healthcare

5. Massive Health Data Analytics for Cognitive IoT

6. Usability Evaluation of Cognitive IoT for Healthcare

7. Hybrid Methods for Interpretable IoT for Healthcare

8. Interpretable Cognitive IoT for Pandemics

9. Interpretable Cognitive IoT for Cancer

10. Interpretable Cognitive IoT for Sustainable Massive Health

11. Interpretable Cognitive IoT for Health Robotics

12. Interpretable Cognitive IoT for Personal Healthcare

13. Wearables in the Context of IoT for Massive Healthcare

14. Security for Massive Health Data Used by Cognitive IoT

15. Future Insights for Interpretable Cognitive IoT in Healthcare

Important Dates:

May 30, 2021: Full Chapter Submission

June 20, 2021: Accept/Reject Notification

June 30, 2021: Camera ready Submission

October 30, 2021: Final Print Version Available (Tentative)

Submission Procedure:

Chapter proposal/FULL Chapter submissions are invited from researchers and practitioners on or before May 31, 2021. Proposals should be limited to between 1000-2000 words, explaining the mission and concerns of the chapter and how it fits into the general theme of the book.

Only electronic submissions in PDF format will be considered. Please mail your proposal to utkukose@gmail.com/drdeepakgupta.cse@gmail.com. Your submission must be made on or before the due date specified. Submissions will be reviewed in a single-blind manner.

Based on accepted chapter proposals, chapter submissions will be accepted on or before May 30, 2021. All submitted chapters will be reviewed by 3 or more reviewers. Chapter submissions must be prepared in accordance with the submission guidelines and must not exceed 25 pages (LNCS style), including bibliography and any appendix. All chapter submission must be made via email to Dr. Utku Kose (utkukose@gmail.com) and Dr. Deepak Gupta (drdeepakgupta.cse@gmail.com). Your submission must be made on or before the submission deadline and cannot be under review for any other conference, journal, or book during the entire time it is considered for the “Virtual and Augmented Reality for Automobile Industry: Innovation, Vision and Applications” book. Submissions will be reviewed in a single-blind manner.

Book Editors:

· Utku Kose, Suleyman Demirel University, Turkey

· Deepak Gupta, CSE Dept, Maharaja Agrasen Institute of Technology, India

· Ashish Khanna, CSE Dept, Maharaja Agrasen Institute of Technology, India

· Joel J.P.C. Rodrigues, Federal University of Piaui, Brazil