Deep Learning and Edge Computing Solutions for High Performance Computing [E-Book] / edited by A. Suresh, Sara Paiva.
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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Full text |
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| Personal Name(s): | Paiva, Sara, editor |
| Suresh, A., editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XII, 279 pages 117 illustrations (online resource) |
| Note: |
englisch |
| ISBN: |
9783030602659 |
| DOI: |
10.1007/978-3-030-60265-9 |
| Series Title: |
EAI/Springer Innovations in Communication and Computing
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| Subject (LOC): |
- 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.