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Emerging Technologies for Battling Covid-19

Applications and Innovations
Langbeschreibung
The book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. The book also presents the problems and challenges researchers and academics face in tackling this monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or drones that can be used to detect infected people in different areas; robots used in fighting the COVID-19 by protecting workers and staff dealing with infected people; blockchain technology that secures sensitive transactions in strict confidentiality. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat.
Inhaltsverzeichnis
Introduction.- Drone-based social distancing, sanitizing, inspection, monitoring and control room for covid-19.- COVID 19 Prediction Models Using Machine Learning Techniques.- Perspective to Definition of Data Visualization: A mapping study and discussion on Coronavirus dataset.- Blockchain based framework to maintain trust among various stakeholders involved in COVID.- Role of Big Data in COVID-19 Pandemic: Opportunities, Challenges and Future Avenues.- Artificial intelligence techniques for resources management during covid-19.- Applications Of Artificial Intelligence And Internet Of Things For Detection And Future Directions To Fight Against Covid-19.- Robotics and drone-based solutions for covid 19 using AI and IOT.- A novel framework for Wearable device-based identification, monitoring, collaborating and crowdsourcing for covid -19.- Effectiveness of Big Data in Early Prediction and Measures for COVID-19 using Data Science.- COVID-19: Creating Paradigm Shift in Education System.-Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots.- Disaster management techniques using AI due to COVID-19.- COVID-19 Impact on Education Systems.- Mobile Technology Solutions for COVID-19.- Predictive Analysis of COVID 19 transmission- Mathematical modelling study.- Analyzing the effects of covid 19 using big data analysis.- Intrinsic and Extrinsic Motivation for Online Teaching in COVID-19: Applications, Issues and Solution.- Conclusion.
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks' deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editor for several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society (IF 4.7).
ISBN-13:
9783030600396
Veröffentl:
2021
Seiten:
359
Autor:
Fadi Al-Turjman
Serie:
324, Studies in Systems, Decision and Control
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

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