Results 11 to 20 of about 536,376 (289)

PARALLEL COMPUTING FOR BLURRING IMAGE USING MEAN AND WEIGHTED AVERAGE METHOD

open access: yesE-Jurnal Matematika, 2018
Blurring is one of the basic image processing technique in order to reduce the noise in a image. In this paper two methods of blurring which are called mean and weighted average method will be elaborated. Three different sizes of mask (3 × 3, 5 × 5 and 7
M. REZA SYAHZIAR, P. H. GUNAWAN
doaj   +3 more sources

On Tauberian theorems for statistical weighted mean method of summability

open access: yesFilomat, 2016
In this paper we establish some new Tauberian theorems for the statistical weighted mean method of summability via the weighted general control modulo of the oscillatory behavior of nonnegative integer order of a real sequence. The main results improve the well-known classical Tauberian theorems which are given for weighted mean method of ...
Totur, Umit, Canak, Ibrahim
openaire   +3 more sources

An equivalent reformulation of summability by weighted mean methods

open access: yesLinear Algebra and its Applications, 1998
A theorem of G. H. Hardy (1921) showed that a series \(\sum^\infty_0a_k\) is Cesàro (\(C,1)\) summable to a finite number \(L\) if and only if the series \(\sum^\infty_0b_n\), where \(b_n:= \sum^\infty_{k=n} a_k/(k+1)\), converges to the same value \(L\).
Móricz, Ferenc, Rhoades, Billy E.
openaire   +3 more sources

Tauberian theorems for weighted means of double sequences in intuitionistic fuzzy normed spaces [PDF]

open access: yesYugoslav Journal of Operations Research, 2022
We define weighted mean summability method of double sequences in intuitionistic fuzzy normed spaces(IFNS), and obtain necessary and sufficient Tauberian conditions under which convergence of double sequences in IFNS follows from their weighted mean ...
Narayan Mishra Lakshmi   +3 more
doaj   +1 more source

Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy

open access: yesIEEE Access, 2021
Clustering validity function is an index used to judge the accuracy of clustering results. At present, most studies on clustering validity are based on single clustering validity function.
H. Y. Wang, J. S. Wang, G. Wang
doaj   +1 more source

New Strategy for Improving the Accuracy of Aircraft Positioning Based on GPS SPP Solution

open access: yesSensors, 2020
The paper describes and presents a new calculation strategy for the determination of the aircraft’s resultant position using the GPS (Global Positioning System) SPP (Single Point Positioning) code method.
Kamil Krasuski   +3 more
doaj   +1 more source

Tauberian theorems for the weighted mean method of summability of integrals [PDF]

open access: yesAIP Conference Proceedings, 2019
Let $q$ be a positive weight function on $\mathbf{R}_{+}:=[0, \infty)$ which is integrable in Lebesgue's sense over every finite interval $(0,x)$ for $0<x<\infty$, in symbol: $q \in L^{1}_{loc} (\mathbf{R}_{+})$ such that $Q(x):=\int_{0}^{x} q(t) dt\neq 0$ for each $x>0$, $Q(0)=0$ and $Q(x) \rightarrow \infty $ as $x \to \infty $.Given a real ...
Firat Ozsarac, Ibrahim Canak
openaire   +5 more sources

Mean Error Rate Weighted Online Boosting Method

open access: yesThe Computer Journal, 2021
Abstract Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve an optimal prediction. To make use of boosting technique in online condition is
Nagaraj Honnikoll, Ishwar Baidari
openaire   +1 more source

Joint Demosaicing and Denoising Based on Interchannel Nonlocal Mean Weighted Moving Least Squares Method

open access: yesSensors, 2020
Nowadays, the sizes of pixel sensors in digital cameras are decreasing as the resolution of the image sensor increases. Due to the decreased size, the pixel sensors receive less light energy, which makes it more sensitive to thermal noise.
Yeahwon Kim   +3 more
doaj   +1 more source

T-Spherical Fuzzy Bonferroni Mean Operators and Their Application in Multiple Attribute Decision Making

open access: yesMathematics, 2022
To deal with complicated decision problems with T-Spherical fuzzy values in the aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by extending the Bonferroni mean and Dombi mean to a T-Spherical fuzzy environment.
Wei Yang, Yongfeng Pang
doaj   +1 more source

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