Deep learning and edge computing solutions for high performance computing / A. Suresh, Sara Paiva, editors.
Suresh, A., editor.; Paiva, Sara, 1979- editor.
2021
R859.7.A78
Available Online

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Title
Deep learning and edge computing solutions for high performance computing / A. Suresh, Sara Paiva, editors.
ISBN
9783030602659 (electronic book)
3030602656 (electronic book)
DOI
https://doi.org/10.1007/978-3-030-60265-9
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (xii, 279 pages) : illustrations
Item Number
10.1007/978-3-030-60265-9 doi
Call Number
R859.7.A78
Dewey Decimal Classification
610.28563
Summary
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. Identifies deep learning techniques in mobile edge data analytics and computing environments suitable for applications in healthcare; Introduces big data analytics to the sources available and possible challenges and techniques associated with bioinformatics and the healthcare domain; Features advancements in the computing field to effectively handle and make inferences from voluminous and heterogeneous healthcare data.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 15, 2021).
Added Author
Suresh, A., editor.
Paiva, Sara, 1979- editor.
Series
EAI/Springer innovations in communication and computing, 2522-8595
Available in Other Form
Print version: 9783030602642
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
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