[AISWorld] Contributing a chapter for a Elsevier Book on Communication Technologies and Machine Intelligence for Combating Pandemic

[mohamed Lahby]

-  We apologize if you receive multiple copies of this CFC.

-  We appreciate your help to forward this CFC to your friends & email
lists.


Dear colleagues,

We are editing a *Elsevier Book* entitled “Communication Technologies and
Machine Intelligence for Combating Pandemic”. The Book will be indexed by
Scopus and ISI.

We cordially invite you to contribute a chapter. The full chapter is due
later this year but for now, I 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 at ieee.org is
Oct, 04th, 2021

*Scope:*
In the recent time, Coronavirus Disease 2019 (COVID-19) has been declared a
global pandemic impacting nearly 99,3 % of countries/territories .
Moreover, the number of confirmed cases around the world has reached over
218 million and the number of deaths exceeds 4.5 million. With the
exponential growth of the number of infected people and rapid spread of the
virus over different continents, the attitudes and behaviors concerning
both private users and business users of various technologies have shifted
due to the life under quarantine. In this context, communication
technologies and machine intelligence are making a significant impact on
critical roles of many services such as healthcare automation, E-education,
E-Commerce, Industry, supply chain automation, etc.

This book presents the latest cutting-edge research, theoretical methods,
and novel applications in the field of computational intelligence
techniques and communication technologies for combating COVID-19 or other
pandemic through facilitating various services as mentioned. Discussing new
models, practical solutions, and technological advances related to
detecting and analyzing COVID-19 or other pandemic based on machine
intelligence models and communication technologies, to help
decision-makers, managers, professionals, and researchers design new
paradigms considering the unique opportunities associated with
computational intelligence techniques.

This book emphasizes the need to analyze all the information through
several studies and research carried out in the field of computational
intelligence, communication networks, and presents the best solutions to
combat COVID and other pandemics.
1.  The book offers an introduction to recent trends regarding the
convergence of AI/ML and communication networks. Moreover, it provides an
overview of theoretical, practical and simulation concepts of intelligence
machine and communication technologies used to combat COVID pandemic.
Furthermore, this book will display solutions that will help analyze
complex patterns in user data and ultimately improve productivity.
2.  This book’s call for papers is destined to a large public including
researchers, students, as well as industrials involved in research and
development.
3.  This book can be a source for students interested in the fields of
artificial intelligence, big data analytics, security and recent trends of
networks. In addition, our book can be considered as a reference for
researchers and academics since it will include recent trends on the
aforementioned technologies.

*Topics:*
Topic of interest include, but are not limited to:

•   Machine Learning for COVID-19 or other pandemic
•   Deep Learning for COVID-19 or other pandemic
•   Big Data for COVID-19 or other pandemic
•   Blockchain technology for COVID-19 or other pandemic
•   IoT solutions for COVID-19 or other pandemic
•   Edge computing for COVID-19 or other pandemic
•   Software-Defined Networking (SDN) solutions for COVID-19 or other
pandemic
•   5G for combating the COVID-19 or other pandemic
•   Telemedicine and mHealth solutions
•   Data mining of medical patient records
•   Internet of Medical Things (IoMT) for COVID-19 or other pandemic
•   Security and privacy issues
•   Cloud Computing Security for COVID-19 or other pandemic
•   Smart city for combating the
•   COVID-19 or other pandemic
•   Data model for COVID-19 or other pandemic
•   Mobile technology solutions for COVID-19 or other pandemic
•   Secure Artificial Intelligence in Communication Networks for COVID-19

*Editors:*
Mohamed Lahby, Hassan II University, Casablanca Morocco
Mariyam Ouaissa, Moulay Ismail University Meknes, Morocco
Yassine Maleh, Sultan Moulay Slimane University, Morocco
Utku Kose: : Süleyman Demirel University, Isparta, Turkey

Best regards

--