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New Trends and Applications in Internet of Things (IoT) and Big Data Analytics / edited by Rohit Sharma, Dilip Sharma

Contributor(s): Sharma, Rohit, (Assistant professor of electronics), editor literario | Sharma, Dilip, editor literario
Material type: materialTypeLabelE-bookSeries: (Intelligent Systems Reference Library, 1868-4408; 221).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XIV, 271 páginas) : 110 ilustraciones, 88 ilustraciones a color.ISBN: 9783030993290.Subject: Internet de los objetos | Datos masivosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
PQD Analysis in Smart Grid System Using Attention-based Neural Network -- Internet of Things Waste Detection and Classification using Optimal Deep Learning Model -- A Smart Record System for Driver Accidental Using Blockchain.
In: Springer Nature eBookSummary: This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle-and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.
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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 TK5105.8857 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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PQD Analysis in Smart Grid System Using Attention-based Neural Network -- Internet of Things Waste Detection and Classification using Optimal Deep Learning Model -- A Smart Record System for Driver Accidental Using Blockchain.

This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle-and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.

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