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020 _a9783030600396
024 7 _a10.1007/978-3-030-60039-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR858
_b2021 EB
245 0 0 _aEmerging Technologies for Battling Covid-19 :
_bApplications and Innovations
_cedited by Fadi Al-Turjman, Ajantha Devi, Anand Nayyar
250 _aFirst edition 2021
264 1 _aCham, Switzerland
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XIV, 359 páginas)
_b210 ilustraciones, 190 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Systems Decision and Control
_x2198-4182
_v324
505 0 _aIntroduction -- 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.
520 3 _aThe 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. Presents solutions to help healthcare sectors and medical staff protect themselves and patients and limit the spread of the COVID-19; Includes technologies that can be used to help fight COVID-19 such as UAV, deep learning, robotics, blockchain, and big data; Provides researchers, academics, professionals, and students from broad sectors with tools they need to help fight current and future viruses.
988 _aSpringer_Computer_2021
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
650 7 _2embne
_9495511
_aDatos masivos
650 7 _2embne
_aCOVID-19
_9683668
700 1 _aAl-Turjman, Fadi
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDevi, Ajantha
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNayyar, Anand
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
776 0 8 _iPrinted edition:
_z9783030600389
776 0 8 _iPrinted edition:
_z9783030600402
776 0 8 _iPrinted edition:
_z9783030600419
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-60039-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2021
_dz
_eIG
_zSI