Editors: S. Vijayalakshmi, Naveen Chilamkurti, Savita , Rajesh Kumar Dhanaraj, Balamurugan Balusamy

The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19

eBook: US $49 Special Offer (PDF + Printed Copy): US $90
Printed Copy: US $65
Library License: US $196
ISBN: 978-981-5080-66-7 (Print)
ISBN: 978-981-5080-65-0 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150806501230101

Introduction

In the wake of the global COVID-19 pandemic, humanity faced unprecedented challenges that necessitated innovative technological solutions. The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19 explores the transformative influence of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies in combating the pandemic's effects.

Key themes:

⚬   Data Precision: Accurate and reliable data are essential for tracking virus spread. The book demonstrates how AI, IoT, and Blockchain can establish digital databases that ensure data accuracy, accessibility, and real-time monitoring, addressing the challenges faced by public healthcare systems.

⚬   Innovative Applications: Chapters in this book cover a wide array of applications, from AI-driven models for COVID-19 analysis and prediction to the use of 3D printing technologies, IoT tools for virus control, and the impact of AI and IoT in healthcare. It also explores the role of social media in promoting social distancing.

⚬   Advanced AI Techniques: Readers gain insights into cutting-edge AI techniques applied to COVID-19 in areas such as treatment, diagnosis, prognosis, chest X-ray and CT analysis, pandemic prediction, and pharmaceutical research.

⚬   Industry 4.0: The book discusses Industry 4.0 technologies and their contribution to sustainable manufacturing, efficient management strategies, and their response to the challenges posed by the pandemic.

Contributed by a distinguished panel of national and international researchers, with multidisciplinary backgrounds specializing in Artificial Intelligence, biomedical engineering, machine learning, and healthcare technology, public health and industrial automation. Each contribution includes derailed references to encourage scholarly research.

This book serves as a valuable resource for academic and professional readers seeking to understand how modern computing technology has been harnessed to address the unique challenges posed by the COVID-19 pandemic. It offers insights into technological innovations and their potential for the betterment of society, especially in times of crisis. Readers will be introduced to computing techniques and methods to measure and monitor the impacts of medical emergencies similar to viral outbreaks and implement the necessary infection control protocols.

Audience

Academic and professional readers interested in healthcare automation and infection control.

Contributors

Editor(s):
S. Vijayalakshmi
Department of Data Science
CHRIST (Deemed to be University)
Maharashtra 412112, India
Pune Lavasa Campus - The Hub of Analytics


Naveen Chilamkurti
Department of Computer Science and Computer Engineering
La Trobe University, Melbourne
Australia


Savita
School of Engineering & Technology
Maharishi University of Information Technology Noida
Noida, Uttar Pradesh, India


Rajesh Kumar Dhanaraj
Symbiosis International (Deemed University)
Pune, India


Balamurugan Balusamy
Shiv Nadar University
Delhi-National Capital Region (NCR)
India
Greater Noida, Uttar Pradesh 201314




Contributor(s):
Danapriya Visvanathan
Asia Pacific University of Technology and Innovation
School of Computing and Technology,
Kuala Lumpur
Malaysia


Hegan A.L. Rajendran
School of Computing and Technology,
Asia Pacific University of Technology and Innovation
Kuala Lumpur
Malaysia


K.T. Thomas
Department of Data Science,
CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub ofc Analytics,
Maharashtra 412112, India


Lija Jacob
Department of Data Science,
CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub ofc Analytics,
Maharashtra 412112, India


M.A. Matheen
School of Computer Science and Engineering
Vellore Institute of Technology, Vellore
Tamil Nadu
India


Mohamed Yousuff
School of Computer Science and Engineering
Vellore Institute of Technology, Vellore
Tamil Nadu
India


N. Hari Priya
Sree Saraswathi Thyagaraja College
Pollachi
Tamil Nadu
India


R. Anusha
School of Computer Science and Engineering
Vellore Institute of Technology, Vellore
Tamil Nadu
India


R. Gunavathi
Department of Data Science,
CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub ofc Analytics,
Maharashtra 412112, India


Rajasekhara Babu
School of Computer Science and Engineering
Vellore Institute of Technology, Vellore
Tamil Nadu
India


S. Rajeswari
Sree Saraswathi Thyagaraja College
Pollachi
Tamil Nadu
India


S. Vijayalakshmi
Department of Data Science,
CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub ofc Analytics,
Maharashtra 412112, India


Samiksha Shukla
Department of Data Science,
CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub ofc Analytics,
Maharashtra 412112, India


Sivakumar Vengusamy
School of Computing and Technology, Asia Pacific University of Technology and Innovation
Kuala Lumpur
Malaysia


T. Genish
KPR College of Arts
Science and Research
Coimbatore
India