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Intelligent Iot Systems in Personalized Health Care - (Cognitive Data Science in Sustainable Computing) (Paperback)

Intelligent Iot Systems in Personalized Health Care - (Cognitive Data Science in Sustainable Computing) (Paperback) - 1 of 1
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About this item

Highlights

  • Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications.
  • Author(s): Arun Kumar Sangaiah & Subhas Chandra Mukhopadhyay
  • 360 Pages
  • Technology, Engineering (General)
  • Series Name: Cognitive Data Science in Sustainable Computing

Description



About the Book



"Presents novel in depth fundamental research contributions either from a methodological/application perspective in understanding the fusion of AI with IoT Illustrates the state-of-the-art and recent developments in the new theories and applications of IoMT techniques applied to parallel computing environment in biomedical engineering systems Presents concepts and technologies that successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data"--



Book Synopsis



Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications.

The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .75 Inches (D)
Weight: 1.07 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 360
Genre: Technology
Sub-Genre: Engineering (General)
Series Title: Cognitive Data Science in Sustainable Computing
Publisher: Academic Press
Format: Paperback
Author: Arun Kumar Sangaiah & Subhas Chandra Mukhopadhyay
Language: English
Street Date: November 11, 2020
TCIN: 1006484188
UPC: 9780128211878
Item Number (DPCI): 247-50-7277
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.75 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1.07 pounds
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