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Nystagmus Detection Method Based on Gating Mechanism and Attention Mechanism Cover

Nystagmus Detection Method Based on Gating Mechanism and Attention Mechanism

International Journal of Advanced Network, Monitoring and Controls
Volume 9 (2024): Issue 4 (December 2024)
By: Maolin Hou  
Open Access
|Dec 2024

Figures & Tables

Figure 1.

Network model
Network model

Figure 2.

improved LSTM model
improved LSTM model

Figure 3.

Gate1
Gate1

Figure 4.

self-attention structure
self-attention structure

Figure 5.

Data tag example
Data tag example

Figure 6.

Training indexes of each round of the model
Training indexes of each round of the model

Figure 7.

ROC curve
ROC curve

Figure 8.

Data results of 100 rounds of training for each model
Data results of 100 rounds of training for each model
DOI: https://doi.org/10.2478/ijanmc-2024-0041 | Journal eISSN: 2470-8038
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Language: English
Page range: 91 - 99
Published on: Dec 31, 2024
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
LSTM,
Self-Attention,
Nystagmus
Related subjects:
Computer sciences,
Computer sciences, other

© 2024 Maolin Hou, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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