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Nystagmus Detection Method Based on Gating Mechanism and Attention Mechanism

Maolin Hou

Maolin Hou

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
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Hou, Maolin
  
31 dic 2024
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Pubblicato online: 31 dic 2024
Pagine: 91 - 99
DOI: https://doi.org/10.2478/ijanmc-2024-0041
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© 2024 Maolin Hou, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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
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