icon
Image from Google Jackets
Image from OpenLibrary

Real-time data analytics for large scale sensor data / Volume editors, Himansu Das, Nilanjan Dey and Valentina Emilia Balas.

Contributor(s): Series: Advances in ubiquitous sensing applications for healthcare ; v. 6.Publisher: London, United Kingdom ; San Diego, CA : Academic Press, [2020]Edition: First editionDescription: xviii, 279 pages : illustrations ; 24cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780128182420
  • 0128182423
Subject(s): DDC classification:
  • 004.33 23 R288
Contents:
Internet of Things in healthcare: smart devices, sensors, and systems related to diseases and health conditions / Irosha Jayatilleka and Malka N. Halgamuge -- Real-time data analytics in healthcare using the Internet of Things / Satya Narayan Sahu, Maheswata Moharana, Purna Chandra Prusti, Shanta Chakrabarty, Fahmida Khan and Subrat Kumar Pattanayak.
Summary: Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.
Item type: كتاب
Tags from this library: No tags from this library for this title.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Notes Date due Barcode
كتاب كتاب Central Library المكتبة المركزية 004.33 R288 (Browse shelf(Opens below)) Available قاعة الكتب 46420

Includes bibliographical references and index.

Internet of Things in healthcare: smart devices, sensors, and systems related to diseases and health conditions / Irosha Jayatilleka and Malka N. Halgamuge -- Real-time data analytics in healthcare using the Internet of Things / Satya Narayan Sahu, Maheswata Moharana, Purna Chandra Prusti, Shanta Chakrabarty, Fahmida Khan and Subrat Kumar Pattanayak.

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.

Online resource; title from title page (Safari, viewed October 31, 2019).