Deep Learning and Edge Computing Solutions for High Performance Computing

This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more pers...

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Bibliographic Details
Other Authors: Suresh, A. (Editor), Paiva, Sara (Editor)
Format: eBook
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:EAI/Springer Innovations in Communication and Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Deep learning methods for applications
  • High performance Computing systems for applications in Healthcare
  • Hyperspectral data analysis and intelligent systems
  • Microarray data analysis
  • Sequence analysis
  • Genomics based analytics
  • Disease network analysis
  • Techniques for big data Analytics and health information technology
  • Deep Learning and Cross-Media Methods for Big Data Representation
  • Mobile edge computing for Large-scale multimodal data acquisition techniques
  • Personal Big data driven approaches to collect and analyze large volumes of information from emerging technologies
  • Mobile edge computing techniques for healthcare applications
  • Swarm intelligence big data computing for healthcare applications
  • Conclusion