Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
learning setup » learning study (Expand Search), learning deep (Expand Search), learning sel (Expand Search)
setup decrease » step decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
learning setup » learning study (Expand Search), learning deep (Expand Search), learning sel (Expand Search)
setup decrease » step decrease (Expand Search)
-
81
-
82
-
83
-
84
-
85
LSTM model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
86
CNN model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
87
Ceramic bearings.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
88
Geometric contact arc length model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
89
Indentation fracture mechanics model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
90
Grinding particle cutting machining model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
91
Three stages of abrasive cutting process.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
92
CNN-LSTM action recognition process.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
-
93
-
94
-
95
Raw data.
Published 2025“…The participants were divided into low and high groups for RC, and the RC-to-cholesterol ratio was based on the median values. Vertebral fractures were assessed via the Genant semiquantitative classification system on CT-reconstructed sagittal images.…”
-
96
Baseline characteristics of the subjects.
Published 2025“…The participants were divided into low and high groups for RC, and the RC-to-cholesterol ratio was based on the median values. Vertebral fractures were assessed via the Genant semiquantitative classification system on CT-reconstructed sagittal images.…”
-
97
-
98
Video 1_Evaluating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study.mov
Published 2024“…The study found that robotic assistance could decrease the risk of complications and enhance surgical outcomes. …”
-
99
Data Sheet 1_Evaluating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study.pdf
Published 2024“…The study found that robotic assistance could decrease the risk of complications and enhance surgical outcomes. …”
-
100
Supplementary Material for: The value of circulating tumor DNA in the prognostic diagnosis of bladder cancer: a systematic review and meta-analysis
Published 2025“…Conclusion: ctDNA demonstrates some clinical application value in the prognostic assessment of bladder cancer, and can assist in predicting patient recurrence and survival. …”