Search alternatives:
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
learning setup » learning study (Expand Search), learning deep (Expand Search), learning sel (Expand Search)
setup decrease » step decrease (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
learning setup » learning study (Expand Search), learning deep (Expand Search), learning sel (Expand Search)
setup decrease » step decrease (Expand Search)
-
1
-
2
-
3
-
4
-
5
Model and learning rule.
Published 2025“…<b>(C), (D)</b> Invariance of learning rules with respect to temporal order. We plot synaptic weight change of a single synapse in a setup with a single pre- and postsynaptic neuron, respectively. …”
-
6
Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev...
Published 2025“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”
-
7
Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev...
Published 2025“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”
-
8
Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf
Published 2025“…</p>Methods<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. …”
-
9
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. …”
-
10
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. …”
-
11
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. …”
-
12
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. …”
-
13
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. …”
-
14
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. …”
-
15
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. …”
-
16
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. …”
-
17
-
18
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. …”
-
19
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. …”
-
20
Nyamsuren, I., Mitchell, E., and Tsay, J. (April 27 - May 2, 2025), <i>Learning Sign Language with Real-Time Kinematic Feedback</i> [Poster Presentation]. The Annual Meeting of the...
Published 2025“…However, after familiarizing themselves with the game during training, experts adapted their signing to be more accurate and easier for the webcam setup to recognize. These preliminary results suggest that our machine learning algorithm can recognize signs quite accurately.…”