Search alternatives:
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant concern (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), step decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant concern (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), step decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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61
Gradation composition of asphalt mixture.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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62
Results of the orthogonal test.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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63
Rutting test results.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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64
Technical Specifications of ZM Modifier.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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65
Gradation curve of asphalt mixture.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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66
Rutting test machine.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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67
Basic performance indicators of base asphalt.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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68
Rutting specimen.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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69
Orthogonal experimental design.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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70
Immersion Marshall test results.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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71
Fatigue life under different stress ratios.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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72
Freeze–thaw splitting test results.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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73
Preparation flowchart of ZM-modified asphalt.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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74
Immersion Marshall test equipment and specimens.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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75
Strength test results of semi-circular specimens.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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76
Bending test results of beam specimens.
Published 2025“…Displacement evolution analysis indicates that the modifier enhances inter-aggregate bonding, increases failure displacement, prolongs the stable phase, and significantly improves overall durability. …”
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77
Simulation datasets.
Published 2025“…These results offer significant theoretical guidance for the design and improvement of needle-free injection.…”
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78
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79
PCA-CGAN model parameter settings.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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80
MIT-BIH dataset proportion analysis chart.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”