Results 1 to 10 of about 2,142,422 (318)
Spontaneous dimensional reduction? [PDF]
To appear in Proc.
Carlip, S.
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Dimension and Dimensional Reduction in Quantum Gravity
If gravity is asymptotically safe, operators will exhibit anomalous scaling at the ultraviolet fixed point in a way that makes the theory effectively two-dimensional.
Steven Carlip
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Modelling and Analysis Library Development for Helicopter Blade and Slender Wings [PDF]
In this study, we suggest a framework for optimal design of a composite wing structure with a high aspect ratio at the initial design stage. The optimization framework calculates allowances in the first ply failure, buckling failure and bearing-bypass ...
Sang Ho AHN, Jun Hwan JANG
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SF-CNN: Signal Filtering Convolutional Neural Network for Precipitation Intensity Estimation
Precipitation intensity estimation is a critical issue in the analysis of weather conditions. Most existing approaches focus on building complex models to extract rain streaks.
Chih-Wei Lin +3 more
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The precise prediction of coal seam thickness in operating mines is crucial for the construction of transparent mines. Geological borehole data or a small amount of seismic information is frequently used in traditional coal seam thickness prediction ...
Xiaobo Lin +3 more
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Using an octonionic formalism, we introduce a new mechanism for reducing ten space–time dimensions to four without compactification. Applying this mechanism to the free, ten-dimensional, massless (momentum space) Dirac equation results in a particle spectrum consisting of exactly three generations.
Manogue, Corinne A., Dray, Tevian
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Dimensionality reduction methods [PDF]
In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite's PLS approach (1994) where a simple linear ...
D'AMBRA L, AMENTA P, GALLO, Michele
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Hepatitis C Disease Detection Based on PCA–SVM Model
Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases ranging from a mild form to serious lifelong illness.
Serdar Gündoğdu
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Dimensionality reduction mappings [PDF]
A wealth of powerful dimensionality reduction methods has been established which can be used for data visualization and preprocessing. These are accompanied by formal evaluation schemes, which allow a quantitative evaluation along general principles and which even lead to further visualization schemes based on these objectives.
Bunte, Kerstin +3 more
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Rare desynchronization events in power grids: on data implementation and dimensional reductions
We discuss the frequency of desynchronization events in power grids for realistic data input. We focus on the role of time correlations in the fluctuating power production and propose a new method for implementing colored noise that reproduces non ...
Tim Ritmeester, Hildegard Meyer-Ortmanns
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