بدائل البحث:
significant attention » significant potential (توسيع البحث), significant reduction (توسيع البحث)
changes decrease » larger decrease (توسيع البحث), change increases (توسيع البحث), largest decrease (توسيع البحث)
attention layer » attention based (توسيع البحث)
significant attention » significant potential (توسيع البحث), significant reduction (توسيع البحث)
changes decrease » larger decrease (توسيع البحث), change increases (توسيع البحث), largest decrease (توسيع البحث)
attention layer » attention based (توسيع البحث)
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Panel A shows the correlation between the attention matrix and the contact map over each layer for all human proteins.
منشور في 2025"…There is no significant correlation through the layer, but at layer 33, the average correlation increases significantly. …"
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143
Image 3_Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers.jpeg
منشور في 2025"…</p>Methods<p>This study explores this method by applying attention mechanism layers to identify EEG channels that are relevant for predicting emotions in three independent datasets (SEED, SEED-IV, and SEED-V). …"
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Image 2_Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers.jpeg
منشور في 2025"…</p>Methods<p>This study explores this method by applying attention mechanism layers to identify EEG channels that are relevant for predicting emotions in three independent datasets (SEED, SEED-IV, and SEED-V). …"
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145
Image 1_Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers.jpeg
منشور في 2025"…</p>Methods<p>This study explores this method by applying attention mechanism layers to identify EEG channels that are relevant for predicting emotions in three independent datasets (SEED, SEED-IV, and SEED-V). …"
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146
Attention-LSTM detailed performance.
منشور في 2025"…This study proposes a novel hybrid Acoustic-VMD and CNN-LSTM model featuring: (1) sample entropy-optimized variational mode decomposition (automatically determining modes and penalty factor), (2) parallel 1D-CNN (5 layers and bidirectional LSTM (2 layers, 256 units) branches, and (3) hierarchical attention mechanisms (8 heads) for dynamic feature fusion. …"
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Increased or reduced ATGL-1 activity does not significantly change <i>N. parisii</i> growth.
منشور في 2025الموضوعات: -
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Self-reported affect change during CFI for participants who attended multiple sessions (N = 22).
منشور في 2023الموضوعات: -
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