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Table of 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
Decision Tree
Random Forest
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
CONCLUSION
REFERENCES
IoT Innovation in COVID-19 Crisis
T. Genish1,* and S. Vijayalakshmi2
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
Potential Applications of AI and IoT Collaborative Framework for Health Care
Lija Jacob1,*, K.T. Thomas1 and Samiksha Shukla1
INTRODUCTION
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
ACKNOWLEDGEMENTS
REFERENCES
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
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
Case Study: Impact of Industry 4.0 and Its Impact on Fighting COVID-19
N. Hari Priya1,*, S. Rajeswari1 and R. Gunavathi2
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Subject Index
Back 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
Decision Tree
Random Forest
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
CONCLUSION
REFERENCES
IoT Innovation in COVID-19 Crisis
T. Genish1,* and S. Vijayalakshmi2
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
Potential Applications of AI and IoT Collaborative Framework for Health Care
Lija Jacob1,*, K.T. Thomas1 and Samiksha Shukla1
INTRODUCTION
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
ACKNOWLEDGEMENTS
REFERENCES
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
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
Case Study: Impact of Industry 4.0 and Its Impact on Fighting COVID-19
N. Hari Priya1,*, S. Rajeswari1 and R. Gunavathi2
INTRODUCTION
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
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Subject Index
Back Cover.