Deep Multi-scale Dilated Convolution Neural Network with Attention Mechanism: A Novel Method for Earthquake Magnitude Classification-Reference-Cited by-同舟云学术

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Deep Multi-scale Dilated Convolution Neural Network with Attention Mechanism: A Novel Method for Earthquake Magnitude Classification

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
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Author:

Kavianpour Parisa¹,Kavianpour Mohammadreza²,Ramezani Amin²

Affiliation:

1. University of Mazandaran,Faculty of Engineering and Technology,Babolsar,Iran

2. Tarbiat Modares University,Department of Electrical and Computer Engineering,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043829/10043862/10043978.pdf?arnumber=10043978

Reference25 articles.

1. Neural Machine Translation With GRU-Gated Attention Model

2. Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment

3. A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions

4. Scalable multi-channel dilated CNN–BiLSTM model with attention mechanism for Chinese textual sentiment analysis

5. Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A CNN-BiLSTM model with attention mechanism for earthquake prediction;The Journal of Supercomputing;2023-05-26

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