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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

• Full title: Deep Learning and Edge Computing Solutions for High Performance Computing
• Author: A. Suresh, Sara Paiva
• Language: English
• Binding: Paperback
• Number of pages: 279
• EAN: 9783030602673
• ID: 38503421
• Publisher: Springer Nature Switzerland AG
• Weight: 450 g
• Dimensions: 235 × 155 × 16 mm
• Date of publishing: 28. January 2022

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