Results 21 to 30 of about 3,022,789 (295)

Distribution of Distances between Elements in a Compact Set

open access: yesStats, 2019
In this article, we propose a review of studies evaluating the distribution of distances between elements of a random set independently and uniformly distributed over a region of space in a normed R -vector space (for example, point events generated
Solal Lellouche, Marc Souris
doaj   +1 more source

Vector Median Filtering Algorithm of Random Projection Depth Sorting [PDF]

open access: yesJisuanji gongcheng, 2016
Aiming at the fuzzy distance definition of the classical Vector Median Filtering(VMF) algorithm,a new vector median filtering algorithm based on random projection depth sorting is proposed.The algorithm uses the sorting method of center outward.The ...
ZHANG Zhiyu,LI Xiangyue,MENG Linghui
doaj   +1 more source

Variance Characteristics of Tropical Radiosonde Winds Using a Vector-Tensor Method

open access: yesEnergies, 2018
In this paper, an exploratory study on the variance characteristics of upper-air winds in a near-equator monsoon region is presented. The data were obtained from historical radiosonde observations from up to 250 stations within the region of interest for
Jing-Jin Tieo   +3 more
doaj   +1 more source

Distributed random vector functional link network with subspace-based local connections

open access: yesShenzhen Daxue xuebao. Ligong ban, 2022
In order to solve the problem of poor generalization ability and high computational complexity of random vector functional link (RVFL) network when dealing with large-scale data classification, we design and implement a distributed RVFL network with ...
YU Wanguo   +3 more
doaj   +1 more source

Numerical simulation of random fields using correlated random vector and the Karhunen-Loève expansion

open access: yesComputer Assisted Methods in Engineering and Science, 2019
This paper presents an approach of one- and two-dimensional random field simulation methods using a correlated random vector and the Karhunen–Loève expansion. Comparison of the authors’ analytical solution of the Fredholm integral equation of the second
Mariusz Poński, Iwona Pokorska
doaj   +1 more source

Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm

open access: yesScientific Reports, 2023
Traditional linear regression and neural network models demonstrate suboptimal fit and lower predictive accuracy while the quality of electrolytic copper is estimated. A more dependable and accurate model is essential for these challenges.
Yuzhen Su   +5 more
doaj   +1 more source

Polarization singularities in isotropic random vector waves [PDF]

open access: yes, 2001
Following Nye & Hajnal, we explore the geometry of complex vector waves by regarding them as a field of polarization ellipses. Singularities of this field are the C lines and L lines, where the polarization is purely circular and purely linear ...
Dennis, MR   +5 more
core   +1 more source

On Random Sums of Random Vectors

open access: yesThe Annals of Mathematical Statistics, 1965
To obtain the limit distribution of a sequence $T_n$ of random vectors, the $j$th component of $T_n$ being the sum of a random number $N_n^{(j)}$ of $j$th components of independent, identically distributed chance vectors $X_n$, it is first necessary to treat the special case where the $N_n^{(j)}$ are degenerate random variables. This is done in Section
openaire   +3 more sources

Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

open access: yesAtmosphere, 2021
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of ...
Nand Lal Kushwaha   +7 more
doaj   +1 more source

Depth functions based on a number of observations of a random vector [PDF]

open access: yes, 2007
We present two statistical depth functions given in terms of the random variable defined as the minimum number of observations of a random vector that are needed to include a fixed given point in their convex hull.
Cascos Fernández, Ignacio
core   +1 more source

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