The Role of AI IoT and Blockchain in Mitigating the Impact of COVID-19 / S. Vijayalakshmi [and three others].

Format:

Book

Author/Creator:

Vijayalakshmi, S. (Associate professor), author.

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Blockchains (Databases).

COVID-19 (Disease)--Data processing.

COVID-19 (Disease).

Internet of things.

Physical Description:

1 online resource (217 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Pte. Ltd., [2023]

Summary:

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: Technological Pandemic Response: This book delves into how technology played a pivotal role in enabling social distancing, remote monitoring, contact minimization, telecommuting, online education, virus analysis, and predictive modeling, effectively aiding the fight against the coronavirus.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. Readership Academic and professional readers interested in healthcare automation and infection control.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.

Contents:

Cover

Title

Copyright

End User License Agreement

Contents

Preface

List of Contributors

Artificial Intelligence (AI) in Battle Against COVID-19

Sivakumar Vengusamy1,* and Hegan A.L. Rajendran1

INTRODUCTION

AI-BASED TECHNIQUES IN THE BATTLE AGAINST COVID-19

Particle Swarm Optimization (PSO) Technique

Artificial Neural Network

Model Estimation Procedures

Random Forest

Decision Tree

Neural Network Models

DATA PREPROCESSING FOR PRECAUTION MEASURES ON COVID-19 DATA

Effective Measures on Datasets

Weather Dataset

Air Pollution Dataset

Lockdown (Movement Restriction) Dataset

Dataset Compilation

Filtering of scope Dataset

Drop Meaningless Variables

TYPES OF MISSING VALUE IMPUTATION FOR AI MODELS

OUTLIER TREATMENT FOR MACHINE LEARNING MODELS

PREDICTIVE ANALYSIS: AI-MODEL CREATION

Multiple Linear Regression

Neural Network Regression

CONCLUSION

ACKNOWLEDGEMENTS

REFERENCES

Impact of 3D Printed Components and Ventilators on COVID-19

K.T. Thomas1,*, Lija Jacob1 and Samiksha Shukla1

INTRODUCTION TO CURRENT CORONAVIRUS DISEASE (COVID-19)

THE UNPRECEDENTED SHORTAGE OF LIFE-SUPPORTING DEVICES AND VARIOUS COMPONENTS

AN OVERVIEW OF 3D PRINTING / ADDITIVE MANUFACTURING

Major 3-Dimensional Printing Technologies

Binder Jetting

Directed Energy Deposition

Materials Extrusion

Materials Jetting

Powder Bed Fusion

Sheet Lamination

Vat Photopolymerization

Common Additive Printing Materials

Metals

Polymers

Ceramics

Composite Materials

Other Smart Materials

Special Materials

Application of 3D Printing in the Medical Industry/Healthcare Domain

Preoperative Planning and Tailored Pre-surgical/Treatment

Personalize Surgical Instruments and Prostheses

Research on Osteoporotic Scenarios.

Enhancing Medical Practice

Tissue Engineering

Drugs that are Tailored to the Individual

THE ROLE OF 3D PRINTING, IN MANUFACTURING VENTILATOR COMPONENTS

THE ROLE OF 3D PRINTING IN MANUFACTURING COMPONENTS OF OTHER MEDICAL DEVICES

Face Masks

Face Shields

Nasal Swabs

Other Potential Areas

IoT Innovation in COVID-19 Crisis

T. Genish1,* and S. Vijayalakshmi2

IOT TECHNOLOGY IN COVID-19

Perception Layer

Network Layer

Fog Layer

Cloud Layer

APPLICATIONS OF IOT-ENABLED DEVICES

Wearables

Cardiovascular Monitoring

Cardiovascular Sleep and Activity

Respiration Monitoring

Temperature Monitoring

ROLE OF DRONES TO COMBAT COVID-19

Aerial Spraying and Monitoring of Crowds

Cargo Delivery

Temperature Scanning

Lack of Understanding of the Use Case, Problem, and Scenario where Drones can add More Value During the COVID-19 Pandemic

Lack of Support Systems

ROBOTIC TECHNOLOGY DURING PANDEMICS

Growth of the Robotics Market

Robotics After COVID-19 Pandemic

APPLICATIONS OF AI AND DIGITAL TECHNOLOGY IN COVID 19

Healthcare

Detecting COVID-19 Cases in Public Areas

Contact Tracing

Development of Drugs and Vaccines

Potential Applications of AI and IoT Collaborative Framework for Health Care

Lija Jacob1,*, K.T. Thomas1 and Samiksha Shukla1

AI IN HEALTHCARE

Early Detection of Disease

Improved Decision Making

Associated Care

Easy Access to Healthcare Services

End of Life Care

Technology-Assisted Healthcare

Challenges in AI and IoT Based Healthcare System

AI-IOT COLLABORATIVE FRAMEWORK

Transformation of IoT with AI

Benefits of AI-IoT Integration

AI-IoT Convergence: Real-world Use Cases

Autonomous Driving

AI-driven Robots.

Embedding AI in Cybersecurity

Artificial Intelligence (AI)-based Smart Appliances

Smart Speakers

Smart Laundry Machines

Intelligent Refrigerators

AI-IOT CONTRIBUTION IN THE HEALTHCARE DOMAIN

Patient Tracking and Predicting Staffing Requirements

Diagnostics via Telemedicine or Remote Diagnosis

Disease Management in Chronic Illness

Addiction Management

The Habit Tracker

The AI-IoT Breath Analyzer

Reduced Waiting Times in Emergency Rooms (ER)

Fastest Attention to Critical Patients and Handling Shortages of Doctors

Automated Robotic Processes

AI-IoT for COVID-19

Mass Screening in Pandemic

SMART HEALTH USING AI AND IOT

Smartphone Applications Incorporating AI and IoT

User Friendly

Data Accuracy and Accessibility

Easy Communication with Professionals

Smart Wearables for Monitoring, Diagnosis, and Prediction

AI-based Personal Emergency Response Systems (AI-PERS)

Intelligent Drones

Smart Kiosks

INTERNET OF MEDICAL THINGS (IOMT) FOR PANDEMIC OUTBREAKS

On-Body Device Units

In-home Segment

Community Units

In Clinic Segment

Pros and Cons of IoMT

Pros

Cons

BLOCKCHAIN TWINNING WITH AI AND IOT IN HEALTHCARE

CONCLUDING REMARKS

Role of Social Media Platforms to Maintain Social Distancing in COVID-19 Pandemic

AI based Clinical Analysis of COVID-19 Infected Patients

Mohamed Yousuff1,*, Rajasekhara Babu1, R. Anusha1 and M.A. Matheen1

Machine Learning (ML)

Deep Learning (DL)

CLINICAL APPLICATIONS

Treatment

Diagnostics

DL Models

Diagnostics via Blood Tests

Enhancing DNA Tests

AI-based Mobile Applications

COVID-19 Text Corpus Processing

Inspecting Infected Individuals

Predicting Recovery and Mortality

Predicting the Level of Disease Severity

Monitoring Symptoms.

COVID-19 EPIDEMIOLOGY

Pandemic Prediction

ML-based Forecasting

Clustering Strategies

Neural Networks in Action

Forecasting Regression Models

Containment of the Pandemic

Evaluation of Risk

Ensuring Safety Measures

Combating False Information

Managing the Consequences

Energy Services

Assisting the Organizations

Education and Sports

PHARMACEUTIC APPLICATIONS

Drug Repositioning

Immune System Analysis

Exploring the Molecular Structure of Medicine

Vaccine Development

UNDERSTANDING THE CONTAGION PATHOGEN

Case Study: Impact of Industry 4.0 and Its Impact on Fighting COVID-19

N. Hari Priya1,*, S. Rajeswari1 and R. Gunavathi2

COVID-19 and Technology

CONCEPTUAL FRAMEWORK FOR INDUSTRY 4.0

Introduction

I. Horizontal Integration Through Value Chains

II. Vertical Integration and Networked Production or Service Systems

III. End-to-End Value Chain Engineering

Key Characteristics of an Industry 4.0 System

Key Components

Big Data Analytics

Artificial Intelligence

Internet of Things (IoT)

Cloud Computing

Cybersecurity

Autonomous Robots

Augmented Reality

BENEFITS OF ADOPTING INDUSTRY 4.0

Increase Efficiency

Collaborative Work and Enhanced Knowledge Sharing

Better Customer Experience

Reduces Costs

DESIGN PRINCIPLES

Interoperability

Virtualisation

Decentralisation

Real-Time Capability

Service Orientation

Modularity

ROLE OF INDUSTRY 4.0 IN FACILITATING THE PROMOTION OF SUSTAINABLE MANUFACTURING

Sustainable Manufacturing

The significance of Industry 4.0 technologies and their Benefits in Promoting the Sustainable Manufacturing

I. IoT and IIoT

II. Autonomous Robots and Cobots

III. Virtualization

IV. Additive Manufacturing

V. System Integration.

INDUSTRY 4.0 AND COVID-19

What Effect did COVID-19 have on the Global Economy in 2020?

The Impact of the COVID-19 epidemic in Daily Life

A). Healthcare

B). Economic

C). Social

IMPACTS OF INDUSTRY 4.0 IN FIGHTING AGAINST THE COVID-19

COVID-19's Effects on Mental Health

A STUDY ON THE MANUFACTURING INDUSTRIES

Challenges Confronted by Manufacturing Industries in the Year 2020

ROLE OF DIGITAL MANUFACTURING IN THE COVID-19 ERA

OBJECTIVE OF THE STUDY

ANALYSIS AND FINDINGS

Hindrances Faced Due to Work from Home Mode in Terms of Productivity

Impacts Faced During COVID-19

Lessons Learned from COVID-19 for Constructing the Production Process for the Future

Make a plan to adapt to changing circumstances

Demand Volatility can be Managed with On-demand Production

Supply Chains Benefit from Mass Customizations

A Worldwide Network Built on the Backbone of Regional Vendors

ACKNOWLEDGMENTS

Subject Index

Back Cover.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815080650

9815080652

OCLC:

1409706657