A Hybrid Biosignal Compression Model for Healthcare Sensor Networks-Reference-Cited by-同舟云学术

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A Hybrid Biosignal Compression Model for Healthcare Sensor Networks

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Dheepa T¹,Sekar K²,Satti Satish Kumar²,Rajareddy Goluguri N V³

Affiliation:

1. Kongunadu College of Engineering,Department of Computer Science and Engineering,Tiruchirappalli,Tamilnadu,India,621215

2. National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India,788010

3. School of Technology, Gandhi Institute of Technology and Management Vishakapatnam,Department of Computer Science and Engineering,Andra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9936688/9936734/09936793.pdf?arnumber=9936793

Reference29 articles.

1. XGBoost

2. Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

3. Time series forecasting using a hybrid ARIMA and neural network model

4. Blood Pressure Prediction with Multi-cue Based RBF and LSTM Model

5. Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost

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1. Adversarially Trained Variational Auto-Encoders With Maximum Mean Discrepancy based Regularization;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

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