Deep Learning and Edge Computing Solutions for High Performance Computing

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,

Éditeur :

Springer


Collection :

EAI/Springer Innovations in Communication and Computing

Paru le : 2021-01-27

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Description
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.
Pages
279 pages
Collection
EAI/Springer Innovations in Communication and Computing
Parution
2021-01-27
Marque
Springer
EAN papier
9783030602642
EAN PDF
9783030602659

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
8899 Ko
Prix
158,24 €
EAN EPUB
9783030602659

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
28406 Ko
Prix
158,24 €