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3D Yang-Mills confining properties from a non-Abelian ensemble perspective
Published 2020-01-01“…Abstract In this work, we propose a 3D ensemble measure for center-vortex worldlines and chains equipped with non-Abelian degrees of freedom. …”
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142
Sacral buildings suitable for defense purposes and their ensembles in Vilnius in the 14th-18th centuries
Published 2008-08-01“… In the 14th-18th centuries, Vilnius had a number of sacral buildings adapted for defense purposes as well as ensembles of those buildings. This group of objects of the defense heritage is one of the components of the defense system of Vilnius. …”
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143
Climate Change Scenarios of Precipitation Extremes in the Carpathian Region Based on an Ensemble of Regional Climate Models
Published 2014-01-01“…This suggests that the probability of occurrence of flash floods may increase more than that of large-scale floods in a warmer climate. The within-ensemble variability (and associated uncertainty) is, nevertheless, much larger in summer than in winter.…”
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144
The Thermodynamic Relationship between the RN-AdS Black Holes and the RN Black Hole in Canonical Ensemble
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145
Optical Performance of Sodium Tungsten Bronze Particles in Transparent Matrix: An Ensemble Particle Modeling Study
Published 2023-07-01“…For the particle ensemble at a fixed mass concentration, a favored particle size existed for shielding the maximal near-infrared light. …”
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146
Le Musée des Beaux-Arts du Canada : une histoire du vivre ensemble
Published 2017-10-01Get full text
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147
Research on PMF Model Based on BP Neural Network Ensemble Learning Bagging and Fuzzy Clustering
Published 2021-01-01“…The root mean square error of the ensemble method is increased by 4.02% and 0.42%, respectively, compared with the existing single model. …”
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148
Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
Published 2014-01-01“…Phase errors of ensemble forecasts are larger than amplitude errors. …”
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149
Les restes humains. Législation, intérêt scientifique et enjeu éthique des ensembles anthropobiologiques
Published 2023-10-01Get full text
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150
Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images
Published 2025-03-01Subjects: Get full text
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151
An ensemble method for improving robustness against the electrode contact problems in automated sleep stage scoring
Published 2024-09-01“…To address these issues, we propose a method based on ensemble of small sleep stage scoring models with different input signal sets. …”
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152
A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method
Published 2024-06-01“…We utilized two effective ensemble machine learning methods: ensemble EfficientNetV2L-LGBM and ensemble UNet-BiGRU. …”
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153
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
Published 2025-01-01Subjects: Get full text
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154
Updating Soil Spatial Variability and Reducing Uncertainty in Soil Excavations by Kriging and Ensemble Kalman Filter
Published 2019-01-01“…Previous research has utilised inverse analysis (e.g., the ensemble Kalman filter (EnKF)) to reduce the uncertainty of soil parameters, when measurements are related to performance, such as inflow, hydraulic head, and deformation. …”
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155
PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology
Published 2025-02-01Get full text
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156
Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method
Published 2024-12-01“…This paper proposes a new method to improve the accuracy of X-ray image segmentation, which analyzes the neighboring pixels of each contour element and adaptively reshapes it if necessary, and then combines all predictions using an ensemble method, which improves the previous version of the contour. …”
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157
An Ensemble Learning Based Framework for Traditional Chinese Medicine Data Analysis with ICD-10 Labels
Published 2015-01-01“…Methods. We propose an ensemble learning framework for the analysis task. …”
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158
MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling
Published 2024-01-01“…Furthermore, we design an ensemble network based on SENet, ResNet, and the evolutionary convolutional neural network Squeeze Excitation Residual Network (SEResNet) to explore the hidden associations between different types of features from multiple perspectives. …”
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