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Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine

Overview of attention for book
Cover of 'Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Medical Things (IoMT) Applications in E-Health Systems Context
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    Chapter 2 Artificial Intelligent and Machine Learning Methods in Bioinformatics and Medical Informatics
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    Chapter 3 Human Facial Age Estimation: Handcrafted Features Versus Deep Features
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    Chapter 4 Multi-scale Multi-block Covariance Descriptor for a Compact Face Texture Representation: Application to Kinship Verification
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    Chapter 5 Continuous Wavelet Analysis and Extraction of ECG Features
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    Chapter 6 e-Health Education Using Automatic Question Generation-Based Natural Language (Case Study: Respiratory Tract Infection)
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    Chapter 7 A Novel Machine Learning Model for Adaptive Tracking and Real-Time Forecasting COVID-19 Dynamic Propagation
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    Chapter 8 Heart Failure Occurrence: Mining Significant Patterns and 10 Days Early Prediction
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    Chapter 9 The Efficiency of the Reverse Engineering to Fabricate a New Respirator Technology Compatible with the COVID-19 Pandemic
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    Chapter 10 Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications
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    Chapter 11 Pulmonary Fibrosis Progression Prediction Using Image Processing and Machine Learning
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    Chapter 12 A Simulation-Based Method to Study the LQT1 Syndrome Remotely Using the EMI Model
Attention for Chapter 7: A Novel Machine Learning Model for Adaptive Tracking and Real-Time Forecasting COVID-19 Dynamic Propagation
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Chapter title
A Novel Machine Learning Model for Adaptive Tracking and Real-Time Forecasting COVID-19 Dynamic Propagation
Chapter number 7
Book title
Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine
Published by
Springer, Cham, August 2021
DOI 10.1007/978-3-030-14647-4_7
Book ISBNs
978-3-03-014646-7, 978-3-03-014647-4
Authors

Santos Gomes, Daiana Caroline dos, Oliveira Serra, Ginalber Luiz de, dos Santos Gomes, Daiana Caroline, de Oliveira Serra, Ginalber Luiz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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