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Deep Learning and Parallel Computing Environment for Bioengineering Systems - by Arun Kumar Sangaiah (Paperback)

Deep Learning and Parallel Computing Environment for Bioengineering Systems - by  Arun Kumar Sangaiah (Paperback) - 1 of 1
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About this item

Highlights

  • Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications.
  • Author(s): Arun Kumar Sangaiah
  • 280 Pages
  • Computers + Internet, Enterprise Applications

Description



Book Synopsis



Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .59 Inches (D)
Weight: 1.08 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 280
Genre: Computers + Internet
Sub-Genre: Enterprise Applications
Publisher: Academic Press
Theme: Business Intelligence Tools
Format: Paperback
Author: Arun Kumar Sangaiah
Language: English
Street Date: July 27, 2019
TCIN: 1006483188
UPC: 9780128167182
Item Number (DPCI): 247-48-8985
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.59 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.08 pounds
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