LEADER 04164oam 2200481 450 001 9910485009703321 005 20210710145450.0 010 $a3-030-60039-4 024 7 $a10.1007/978-3-030-60039-6 035 $a(CKB)4100000011763186 035 $a(DE-He213)978-3-030-60039-6 035 $a(MiAaPQ)EBC6480214 035 $a(PPN)253860415 035 $a(EXLCZ)994100000011763186 100 $a20210710d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEmerging technologies for battling Covid-19 $eapplications and innovations /$fFadi Al-Turjman, Ajantha Devi, Anand Nayyar, editors 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XIV, 359 p. 210 illus., 190 illus. in color.) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v324 311 $a3-030-60038-6 327 $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. 330 $aThe book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. The book also presents the problems and challenges researchers and academics face in tackling this monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or drones that can be used to detect infected people in different areas; robots used in fighting the COVID-19 by protecting workers and staff dealing with infected people; blockchain technology that secures sensitive transactions in strict confidentiality. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat. Presents solutions to help healthcare sectors and medical staff protect themselves and patients and limit the spread of the COVID-19; Includes technologies that can be used to help fight COVID-19 such as UAV, deep learning, robotics, blockchain, and big data; Provides researchers, academics, professionals, and students from broad sectors with tools they need to help fight current and future viruses. 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v324 606 $aMedical informatics 615 0$aMedical informatics. 676 $a610.285 702 $aAl-Turjman$b Fadi 702 $aDevi$b Ajantha 702 $aNayyar$b Anand 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910485009703321 996 $aEmerging technologies for battling Covid-19$92814674 997 $aUNINA LEADER 01669oam 2200445I 450 001 9910711766303321 005 20190102141925.0 035 $a(CKB)5470000002486407 035 $a(OCoLC)961332708 035 $a(EXLCZ)995470000002486407 100 $a20161028d1955 ua 0 101 0 $aeng 135 $aurn|||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSurface water supply of the United States, 1953$hPart 2-A$iSouth Atlantic slope basins, James River to Savannah River /$fprepared under the direction of J. V. B. Wells 210 1$a[Washington, D.C.] :$cUnited States Department of the Interior, Geological Survey,$d1955. 210 2$aWashington :$cUnited States Government Printing Office. 215 $a1 online resource (viii, 284 pages) $cillustrations, maps 225 1 $aGeological Survey water-supply paper ;$v1273 300 $a"Prepared in cooperation with the states of Georgia, North Carolina, South Carolina, and Virginia, and with other agencies." 300 $aIncludes tables. 320 $aIncludes index. 517 3 $aSouth Atlantic slope basins, James River to Savannah River 606 $aWater quality$zSouth Atlantic States 606 $aWater-supply$zSouth Atlantic States 615 0$aWater quality 615 0$aWater-supply 700 $aWells$b J. V. B.$01385991 712 02$aGeological Survey (U.S.), 801 0$bCOP 801 1$bCOP 801 2$bOCLCO 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910711766303321 996 $aSurface water supply of the United States, 1953$93455534 997 $aUNINA