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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant results » significant reductions (Expand Search), significant reduction (Expand Search)
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4181
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4182
MFDPN module.
Published 2025“…Additionally, structured pruning techniques were applied to the model at varying levels, further reducing computational and parameter loads. Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
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4183
Detection effect of different sizes.
Published 2025“…Additionally, structured pruning techniques were applied to the model at varying levels, further reducing computational and parameter loads. Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
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4184
Radar chart comparing indicators.
Published 2025“…Additionally, structured pruning techniques were applied to the model at varying levels, further reducing computational and parameter loads. Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
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4185
MFD-YOLO structure.
Published 2025“…Additionally, structured pruning techniques were applied to the model at varying levels, further reducing computational and parameter loads. Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
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4186
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4187
Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection
Published 2025“…As cooling progresses, they become more compact, a process accompanied by a reduction in water content, which is more significant as the solution concentration increases. …”
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4188
Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection
Published 2025“…As cooling progresses, they become more compact, a process accompanied by a reduction in water content, which is more significant as the solution concentration increases. …”
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4189
Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection
Published 2025“…As cooling progresses, they become more compact, a process accompanied by a reduction in water content, which is more significant as the solution concentration increases. …”
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4190
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4191
Comparison of experimental results at ablation.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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4192
Result of comparison of different lightweight.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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4193
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4194
Accuracy and loss values of each model.
Published 2025“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
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4195
Model parameter indicators.
Published 2025“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
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4196
Classification of bearing data labels.
Published 2025“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”
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4197
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4198
Loading mode.
Published 2025“…The outer ring of inclined piles in the VIPF significantly enhances structural stiffness through spatial synergy, achieving uniform load distribution and effective redistribution of pile-body internal forces. …”
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4199
Model and meshes.
Published 2025“…The outer ring of inclined piles in the VIPF significantly enhances structural stiffness through spatial synergy, achieving uniform load distribution and effective redistribution of pile-body internal forces. …”
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4200
Shearing forces in the tension zone.
Published 2025“…The outer ring of inclined piles in the VIPF significantly enhances structural stiffness through spatial synergy, achieving uniform load distribution and effective redistribution of pile-body internal forces. …”