Results 51 to 60 of about 9,758,782 (389)

Continuous and Discrete ZND Models with Aid of Eleven Instants for Complex QR Decomposition of Time-Varying Matrices

open access: yesMathematics, 2023
The problem of QR decomposition is considered one of the fundamental problems commonly encountered in both scientific research and engineering applications.
Jianrong Chen   +2 more
doaj   +1 more source

Analisis Performa Algoritma K-Nearest Neighbor dan Reduksi Dimensi Menggunakan Principal Component Analysis

open access: yesJambura Journal of Mathematics, 2023
This paper discusses the performance of the K-Nearest Neighbor Algorithm with dimension reduction using Principal Component Analysis (PCA) in the case of diabetes disease classification.
Aldila Dinanti, Joko Purwadi
doaj   +1 more source

Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis

open access: yesMachines, 2023
Fault diagnosis methods are usually sensitive to outliers and it is difficult to obtain and balance global and local discriminant information, which leads to poor separation between classes of low-dimensional discriminant features.
Maoyan Zhang   +4 more
doaj   +1 more source

Note About Null Dimensional Reduction of M5-Brane [PDF]

open access: yesarXiv, 2021
In this short note we study null dimensional reduction of M5-brane covariant action. We analyse longitudinal dimensional reduction that leads to non-relativistic D4-brane and transverse reduction that leads to NS5-brane in non-relativistic string theory.
arxiv  

Dimensional Reduction without Extra Continuous Dimensions [PDF]

open access: yes, 2012
We describe a novel approach to dimensional reduction in classical field theory. Inspired by ideas from noncommutative geometry, we introduce extended algebras of differential forms over space-time, generalized exterior derivatives and generalized ...
Ali H. Chamseddine   +8 more
core   +1 more source

Proximities in dimensionality reduction

open access: yes, 2022
Dimensionality reduction aims at representing high-dimensional data in a lower-dimensional representation, while preserving their structure (clusters, outliers, manifold). Dimensionality reduction can be used for exploratory data visualization, data compression, or as a preprocessing to some other analysis in order to alleviate the curse of ...
Lee, John Aldo   +3 more
openaire   +4 more sources

Numerické hodnocení reologickéh o experimentu [PDF]

open access: yesACC Journal, 2012
Uvažujeme viskoelastické, prostě podepřené, rotačně symetrické těleso pevně spojené s podkla-dem. Těleso je zatěžováno plochou lisovací čelisti, která se pohybuje ve směru osy z konstantní rychlostí v.
Petr Salač, Ivo Matoušek
doaj  

Sharpening the weak gravity conjecture with dimensional reduction [PDF]

open access: yes, 2015
A bstractWe investigate the behavior of the Weak Gravity Conjecture (WGC) under toroidal compactification and RG flows, finding evidence that WGC bounds for single photons become weaker in the infrared.
B. Heidenreich, M. Reece, Tom Rudelius
semanticscholar   +1 more source

Learning Picture Languages Using Dimensional Reduction

open access: yesInteligencia Artificial, 2023
One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking.
David Kubon   +2 more
doaj   +1 more source

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