Verkauf durch Sack Fachmedien

Paiva / Suresh

Deep Learning and Edge Computing Solutions for High Performance Computing

Medium: Buch
ISBN: 978-3-030-60267-3
Verlag: Springer International Publishing
Erscheinungstermin: 28.01.2022
Lieferfrist: bis zu 10 Tage

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 personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.


Produkteigenschaften


  • Artikelnummer: 9783030602673
  • Medium: Buch
  • ISBN: 978-3-030-60267-3
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 28.01.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: EAI/Springer Innovations in Communication and Computing
  • Produktform: Kartoniert
  • Gewicht: 446 g
  • Seiten: 279
  • Format (B x H x T): 155 x 235 x 16 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.