Use of AI, Robotics and Modelling Tools to Fight Covid-19. (Record no. 27449)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 09184nam a22004933i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC6641375 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240724115135.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2021 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000794793 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9788770224437 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC6641375 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL6641375 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1257077116 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | RA644.C67 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 614.592414 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jain, Arpit. |
| 245 10 - TITLE STATEMENT | |
| Title | Use of AI, Robotics and Modelling Tools to Fight Covid-19. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Milton : |
| Name of producer, publisher, distributor, manufacturer | River Publishers, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (246 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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 appropriate amount of health infrastructure can be made available to these places. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence--Medical applications. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sharma, Abhinav. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Jianwu. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ram, Mangey. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Jain, Arpit |
| Title | Use of AI, Robotics and Modelling Tools to Fight Covid-19 |
| Place, publisher, and date of publication | Milton : River Publishers,c2021 |
| International Standard Book Number | 9788770224437 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6641375">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6641375</a> |
| Public note | Click to View |
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