Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
learning method » learning methods (Expand Search)
values decrease » values increased (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
i values » _ values (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
learning method » learning methods (Expand Search)
values decrease » values increased (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
i values » _ values (Expand Search)
-
1
-
2
Table of values for <i>p.</i>
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
-
3
-
4
-
5
-
6
Comparison of environmental perception time results at different learning rates.
Published 2025Subjects: -
7
-
8
-
9
Yearly crude rates normalized by their 1999 value.
Published 2025“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”
-
10
-
11
Moran’s I value, Z value and P value of CCD-GFEE.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
-
12
Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs...
Published 2024“…As the <i>L</i>(<i>p</i>) distribution associated with the larger observation tends to have higher overall values, the likelihood of it being ultimately selected decreases.…”
-
13
S1 File -
Published 2024“…Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i><sub>adj</sub><0.001), which was not significantly different between trainees. …”
-
14
-
15
The MAE value of the model under raw data.
Published 2025“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
-
16
Three error values under raw data.
Published 2025“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
-
17
-
18
-
19
-
20