Use of AI, Robotics, and Modern Tools to Fight Covid-19
- Length: 300 pages
- Edition: 1
- Language: English
- Publisher: River Publishers
- Publication Date: 2021-06-25
- ISBN-10: 8770224439
- ISBN-13: 9788770224437
- Sales Rank: #0 (See Top 100 Books)
The COVID-19 pandemic has hit the globe at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defense mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic.
AI technology is useful for fast drug development and treatment. In the starting phase of the COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network models have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.
Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 are aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that the appropriate amount of health infrastructure can be made available to these places.
Cover Use of AI, Robotics, and Modern Tools to Fight Covid-19 RIVER PUBLISHERS SERIES IN AUTOMATION, CONTROL AND ROBOTICS Use of AI, Robotics, and Modern Tools to Fight Covid-19 Copyrights 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 Puneet Joshi, Swati Shukla 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 Vidushee Nautiyal, Rakhi Pandey 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 Abhinav Sharma, Arpit Jain, Mangey Ram 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 Meera C. S., Aslesha Bodavula, Pinisetti Swami Sairam 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 Prashant Kumar Dwivedi 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 Kuldeep Panwar, Supriya Pandey, Kamal Rawat, Neeraj Bisht 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 Chhaya Kulkarni, Sandipan Dey, Vandana Janeja 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 Tan Nhat Pham, Son Vu Truong Dao 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 Paawan Sharma, Hardik Patel, Mohendra Roy 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 Iosif Z. Aronov, Anna M. Rybakova, Nataliia M. Galkina 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 Vibhu Jately, Jyoti Joshi, Rajendra Kumar Jatley 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 Sriperumbuduru Srilaya, Sirisha Velampalli 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 Sushma Malik, Anamika Rana 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
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