Book Title
Computer Intelligence against Pandemics – Tools and Methods to face new Strains of Covid-19

Lead Editor’s Name
Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad and Mario Koeppen

CfC Text
Book Title: Computer Intelligence against Pandemics – Tools and Methods to face new Strains of Covid-19

Publisher: De Gruyter, Germany

Editors: Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad and Mario Koeppen

Dear Colleagues,

We are in the process of coming up with a volume titled Computer Intelligence against Pandemics – Tools and Methods to face new Strains of Covid-19 to be published by De Gruyter, Germany in 2022.

This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. At this point, computational intelligence is the most powerful tool for researchers to fight against COVID-19 using Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics. This volume aims to inform the target audience about the latest findings-results regarding a wide variety of Computational Intelligence applications for fighting against the new strains of COVID-19.

Chapter proposals are solicited on the following topics but not include to:

Pandemics: A General Introduction
Computational Intelligence for Newer COVID-19 Strains
Intelligent Modelling of Pandemics
Intelligent Data Analysis Tools for Pandemics
Intelligent Prediction Mechanisms
A Comparative Study between the New Strains and Previous Strains of COVID-19 concerning
Fatality and Infectiousness in the purview of Computational Intelligence
Deep Learning/Machine Learning techniques for Identification and Diagnosis of New Strains of COVID-19
Treatment for COVID-19 strains with Artificial Intelligence approach
Role of Mobile Technology Solutions for preventing new strains of COVID-19
Redefined Public Safety Based on Big Data, Artificial Intelligence and the Internet of Intelligent Things (AI-IoIT) for COVID-19 strains
AI-assisted Medical Imaging diagnosis and analysis for new strains of COVID-19
Geoprocessing/Tracking for new strains of COVID-19
Internet of Health Things (IoHT) enabled applications and designs for COVID-19
Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Data Models for combatting new strains of COVID-19
Use of Chatbot to reveal the existence of the new strains of COVID-19 amid existing COVID-19 virus
Analyzing the impact of ongoing vaccination in achieving herd immunity using Artificial Intelligence techniques
Designing Cognitive Agent-based Computing for new strains of COVID-19
Role of AI, IoT, Drones, Cloud Computing, Blockchain, and 5G for future pandemics and future strains of COVID-19
Mental Health analysis due to impact of COVID-19: A global study of risk and resilience Factors using Sentiment Analysis/ Emotion Recognition
Optimization of Health Care Resources and Health Care Informatics
Case Studies: COVID-19
Symptomatic Real-Life Datasets: Modelling, Prediction and Diagnosis
Tracking, Health Care Precautions, Alerts and Early Warnings
Real Time Data Analysis: Early Detection, Contactless Testing and Prognosis
Post-COVID-19 Intelligent Measures: Intelligent Social Distancing Measures: Contactless Human Etiquettes and
Contactless Shopping Arena Design
Conclusion

Important Dates:
Chapter Proposal Submission: November 30, 2021
Full Chapter Submission: January 31, 2022
Review Notification: February 28, 2022
Final Submission: March 31, 2022

Interested authors and contributors are requested to send their chapter proposals containing the chapter title, author details and abstract to bookcovid22@gmail.com.

Looking forward to your valuable contributions.

Best regards,

Editors
Computer Intelligence against Pandemics – Tools and Methods to face new Strains of Covid-19