بدائل البحث:
augmentations algorithm » augmentation algorithms (توسيع البحث), segmentation algorithm (توسيع البحث), segmentation algorithms (توسيع البحث)
data augmentations » data augmentation (توسيع البحث), dataset augmentation (توسيع البحث)
augmentations algorithm » augmentation algorithms (توسيع البحث), segmentation algorithm (توسيع البحث), segmentation algorithms (توسيع البحث)
data augmentations » data augmentation (توسيع البحث), dataset augmentation (توسيع البحث)
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183
Comparison of model parameter settings.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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184
Structure of CNN.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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185
Flowchart of the SVMD-CNN-BiLSTM-A model.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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186
The decomposed components of corn.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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187
One basic unit of LSTM.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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188
Structure of BiLSTM network.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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189
The decomposed components of wheat.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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190
Daily corn and wheat future price series.
منشور في 2025"…These components are then fed into a CNN-augmented BiLSTM model, enhanced with an attention mechanism to extract both temporal dependencies and intricate data relationships. …"
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191
Evaluation metrics of FedAvg FL approach.
منشور في 2025"…All models were then tested in an FL platform to maintain data privacy. In the FL platform, the VGG16 algorithm showed the best results, with 92.08% accuracy on ISBI2016 and 94% on ISBI2017. …"
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192
Versions of the core libraries used in this work.
منشور في 2025"…All models were then tested in an FL platform to maintain data privacy. In the FL platform, the VGG16 algorithm showed the best results, with 92.08% accuracy on ISBI2016 and 94% on ISBI2017. …"
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193
Comparison table of the published paper.
منشور في 2025"…All models were then tested in an FL platform to maintain data privacy. In the FL platform, the VGG16 algorithm showed the best results, with 92.08% accuracy on ISBI2016 and 94% on ISBI2017. …"
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194
Summary of data collection schedule for phase 2.
منشور في 2025"…The impact of psychotropic drugs-induced weight gain is augmenting the disease burden and healthcare expenditure. …"
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195
Coarse-grained motion segmentation process.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"
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196
Analysis results of complex motion sequences.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"
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197
Comparative analysis of segmentation time.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"
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198
Fine-grained motion segmentation.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"
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199
Human skeleton tree hierarchy model.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"
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200
Average processing time versus GPU utilization.
منشور في 2025"…Firstly, the tree-level model based on human skeleton topology and bidirectional unbiased Kalman filter are used for noise reduction pre-processing of motion data to improve the accuracy of motion capture. Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …"