Use of AI, Robotics and Modelling Tools to Fight Covid-19 [E-Book]
This book describes the various AI, IoT, robotics, mathematical and computational modelling tools that have been used to fight the Covid-19 pandemic.
Saved in:
Full text |
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Personal Name(s): | Jain, Arpit, author |
Sharma, Abhinav / Wang, Jianwu / Ram, Mangey | |
Imprint: |
Aalborg :
River Publishers,
2021
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Physical Description: |
1 online resource (248 pages) |
Note: |
englisch |
ISBN: |
9781000794793 9788770224437 |
Series Title: |
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River Publishers Series in Mathematical and Engineering Sciences Series
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- Cover
- Half Title
- Series Page
- Title Page
- Copyrights Page
- Table of Contents
- Preface
- Acknowledgement
- List of Contributors
- List of Figures
- List of Tables
- List of Notations and Abbreviations
- 1: The History of Pandemics and Evolution So Far
- 1.1 Introduction
- 1.2 Definition of Pandemics
- 1.3 History of Pandemics
- 1.3.1 Prehistoric Epidemic
- 1.3.2 Modern Epidemics
- 1.4 Attributes of a Pandemic
- 1.5 Origin of The Coronavirus or Covid-19
- 1.5.1 Pathophysiology
- 1.5.2 Signs, Symptoms, and Transmission
- 1.5.3 Diagnosis
- 1.5.4 Prevention
- 1.5.5 Management
- 1.6 Types of Covid-19
- 1.7 Vaccine
- 1.8 Pandemic Impacts
- 1.9 Conclusion
- References
- 2: Tracing the Origins of COVID-19
- 2.1 Introduction
- 2.2 History of the Virus
- 2.2.1 Influenza
- 2.2.2 Seasonal Flu
- 2.2.3 2002-2004: Severe Acute Respiratory Syndrome
- 2.2.4 2009 (H1N1) Flu Pandemic
- 2.2.5 Middle East Respiratory Syndrome Coronavirus (MERS-COV) - 2012
- 2.2.6 2014-2016 Ebola
- 2.3 Genetic Sequence of Sars-Cov-2
- 2.4 Transmission and Diagnosis
- 2.5 Conclusion
- 2.6 Acknowledgment
- References
- 3: AI for COVID-19: The Journey So Far
- 3.1 Introduction
- 3.2 Artificial Intelligence
- 3.3 Potential Contribution of Ai Against Covid-19
- 3.3.1 Diagnosis of Disease
- 3.3.2 Discovery of Drug and Vaccine
- 3.3.3 Prediction of Mortality and Survival Rate
- 3.3.4 Contact Tracing
- 3.3.5 Robotics and Health Care
- 3.3.6 COVID-19 Chatbots
- 3.3.7 Prevent Further Spread of Disease
- 3.4 Conclusion
- References
- 4: Technological Opportunities to Fight COVID-19 for Indian Scenario
- 4.1 Introduction
- 4.2 Technological Interventions
- 4.2.1 Robotic Technologies in COVID-19
- 4.2.2 Smart Surveillance Systems
- 4.2.3 Artificial Intelligence and Machine Learning
- 4.2.4 Computational Fluid Dynamics.
- 4.2.5 Unmanned Aerial Vehicles
- 4.3 Conclusion
- References
- 5: Mobile Robots in COVID-19
- 5.1 Introduction
- 5.1.1 What is Mobile Robot?
- 5.1.2 Components of Mobile Robots
- 5.1.3 Mobile Robots and COVID-19
- 5.2 Requirements of Mobile Robots in Pandemic Situation
- 5.3 Innovation and Classification of Mobile Robots
- 5.4 Future Scope and Challenges
- 5.4.1 Challenges During Development Phase
- 5.4.2 Challenges During Deployment Phase
- 5.5 Conclusion
- References
- 6: Predictor System for Tracing COVID-19 Spread
- 6.1 Introduction
- 6.2 Various Prediction Methods
- 6.3 Case Study - Prediction of Effective Reproductive Number for India
- 6.4 Results and Discussions
- 6.5 Conclusion
- References
- 7: Discovery of Robust Distributions of COVID-19 Spread
- 7.1 Introduction
- 7.2 Methodology
- 7.2.1 Data Preprocessing
- 7.2.2 Temporal Analysis
- 7.2.3 Distribution Detection
- 7.2.4 Outlier Detection
- 7.3 Experimental Results
- 7.3.1 Geospatial Context of the Data
- 7.3.2 Results
- 7.4 Conclusion
- References
- 8: Toward Smart Hospital: An Intelligent Personnel Scheduling Using Evolutionary Algorithms
- 8.1 Introduction
- 8.2 Methodology
- 8.2.1 Data Collection
- 8.2.2 Mathematical Model Development
- 8.2.3 Discrete GWO with a Novel Neighborhood Search Operator
- 8.3 Computational Results
- 8.4 Conclusion
- References
- 9: Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon
- 9.1 Introduction
- 9.2 Proposed Analysis
- 9.3 Modeling and Simulation
- 9.4 Results and Discussions
- 9.4.1 Application in Pandemic Control
- 9.5 Conclusion
- References
- 10: Peculiarities of Technical Measures During the COVID-19 Pandemic
- 10.1 Introduction
- 10.2 Application of Tbt Measures By Wto Members.
- 10.3 Peculiarities of Application of Standardization Tools During the Pandemic
- 10.3.1 Standard Accessibility in Response to the COVID-19 Pandemic
- 10.3.2 Development of Standardization Documents in Response to the COVID-19 Pandemic
- 10.4 Main Conclusions and Recommendations from the Analysis of TBT Measures During the Covid-19 Pandemic
- 10.5 Acknowledgements
- References
- 11: Climate Change and COVID-19: An Interplay
- 11.1 Introduction
- 11.2 Comparison of Two Disruptors, The Climate Risk, and Covid-19
- 11.2.1 Short-Term and Long-Term Effects of Climate Change and COVID-19
- 11.2.2 Short-Term Effects of the Current Pandemic
- 11.2.3 Long-Term Effects of the Pandemic
- 11.2.4 Short-Term Effects of Climate Change
- 11.2.5 Long-Term Effects of Climate Change
- 11.2.6 Searching Ways to Mitigate
- 11.2.7 Common Features
- 11.2.8 Features that Make Them Different
- 11.2.9 Mitigating the Risk by Avoiding its Multiplication
- 11.3 Trends in CO2 and GHG Emission Levels
- 11.4 Effect of Covid-19 on Emission Levels and on Energy Demand
- 11.5 How to Move Forward
- 11.5.1 Responses Helpful in Saving the Environment
- 11.5.2 Pitfalls in Road that Can Blur the Focus of Stakeholders for Reducing Emissions
- 11.5.3 Road Map for the Planners
- 11.6 Conclusion
- 11.7 Acknowledgements
- References
- 12: COVID-19 Pandemic: A New Era in Higher Education
- 12.1 Introduction
- 12.2 Covid-19 Impact on Higher Education
- 12.2.1 All Educational Activities are Disrupted
- 12.2.2 Turndown in Employment Opportunities
- 12.2.3 Impact on Academic Research and Professional Development
- 12.2.4 Attendance of Students May Slow Down
- 12.2.5 National and International Student Mobility for Higher Study May Be Reduced
- 12.3 Challenges of India for Higher Education During Covid-19.
- 12.3.1 Virtual Platforms in Higher Education at Times of COVID-19
- 12.4 Challenges Undertaken for Digitalizing Sector in Higher Education
- 12.4.1 Resource and Internet Connectivity
- 12.4.2 Shortage of Trained Teachers
- 12.4.3 Content-Related Challenges
- 12.4.4 Poor Maintenance and Upgradation of Digital Equipment
- 12.4.5 Inadequate Funds
- 12.5 Post-Covid-19 (Digitalization: A New Phenomenon in Higher Education
- 12.5.1 Urge for Distance Learning and Online Learning May Grow
- 12.5.2 Blending Teaching and Learning with Technology
- 12.5.3 New Design in Assessment System
- 12.5.4 Online Learning Helped Us to Tackle the Crisis
- 12.6 Conclusion
- 12.7 Acknowledgment
- References
- 13: Virtual Reality: Solution to Reduce the Impact of COVID-19 on Global Economy
- 13.1 Introduction
- 13.2 Impact of Covid-19 on the Economy
- 13.2.1 Tourism Industry
- 13.2.2 Automobile Industry
- 13.2.3 Agriculture
- 13.2.4 Aviation Industry
- 13.2.5 Oil Industry
- 13.2.6 Construction Industry
- 13.2.7 Food Industry
- 13.2.8 Healthcare and Medical Industry
- 13.3 Domain Moving Toward Virtual Reality for Survival
- 13.3.1 Education
- 13.3.2 Hospital
- 13.3.3 Agriculture
- 13.3.4 Sports
- 13.3.5 Businesses
- 13.3.6 Government
- 13.4 Challenges During Implementation of Virtual Reality
- 13.4.1 Lack of Familiarity
- 13.4.2 Network Load
- 13.4.3 Bottleneck Communication
- 13.4.4 Cost
- 13.4.5 Internet
- 13.4.6 User Experience Issue
- 13.4.7 Security
- 13.4.8 Powerful Computers
- 13.5 Road Map Toward Normal During Covid-19
- 13.6 Implications for Research
- 13.7 Conclusion
- References
- Index
- About the Editors.