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Sustainability Measures for COVID-19 Pandemic / edited by Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal.

Contributor(s): Agrawal, Rashmi, editor literario | Mittal, Mamta, editor literario | Goyal, Lalit Mohan, editor literario
Material type: materialTypeLabelE-bookSeries: (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Singapore : Springer International Publising Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIV, 274 páginas) : 132 ilustraciones, 113 ilustraciones a color.ISBN: 9789811632273.Subject: Internet de los objetos | COVID-19Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Internet of Things and Web Services for handing pandemic challenges -- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India -- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of Covid-19 -- A Study and Novel AI/ML-based Framework to Detect COVID-19 virus using Smartphone Embedded Sensors -- Transmission Modelling on COVID-19 Pandemic and its Challenges -- Effect of Covid19 pandemic on mental health: an under-realized sociological enigma -- Predicting the Covid-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning -- Social Challenges and Consequences of Covid-19 -- Economic Impact & measures of Corona Regime -- Modelling the Impact of Various Treatment and Prevention Tact's on COVID-19 Worldwide -- Understanding Emotional Health Sustainability amidst COVID-19 imposed Lockdown -- Industry 4.0 technologies and their applications in fighting Covid-19 -- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients.
Abstract: This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.5915 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.19122312
Total holds: 0

Internet of Things and Web Services for handing pandemic challenges -- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India -- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of Covid-19 -- A Study and Novel AI/ML-based Framework to Detect COVID-19 virus using Smartphone Embedded Sensors -- Transmission Modelling on COVID-19 Pandemic and its Challenges -- Effect of Covid19 pandemic on mental health: an under-realized sociological enigma -- Predicting the Covid-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning -- Social Challenges and Consequences of Covid-19 -- Economic Impact & measures of Corona Regime -- Modelling the Impact of Various Treatment and Prevention Tact's on COVID-19 Worldwide -- Understanding Emotional Health Sustainability amidst COVID-19 imposed Lockdown -- Industry 4.0 technologies and their applications in fighting Covid-19 -- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients.

This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.

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