Data Anomaly Detection in Wireless Sensor Networks Using $\beta$ -Variational Autoencoder-Reference-Cited by-同舟云学术

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Data Anomaly Detection in Wireless Sensor Networks Using $\beta$ -Variational Autoencoder

Published:2023-02-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS)
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Author:

S Arul Jothi¹,S Harini¹,K Nivedha¹,G Selva Keerthana B¹,R Gokul¹,S Jayasree B¹

Affiliation:

1. PSG College Of Technology,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099476/10100336/10100379.pdf?arnumber=10100379

Reference20 articles.

1. Anomaly detection in wireless sensor network using machine learning algorithm

2. A review on classification of imbalanced data for wireless sensor networks

3. A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network

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