Results 11 to 20 of about 1,675,186 (285)
Remote Sensing, 2022 Weighted average temperature (Tm) plays a crucial role in global navigation satellite system (GNSS) precipitable water vapor (PWV) retrieval. Aiming at the poor applicability of the existing Tm models in Europe, in the article, we used observations from ...
Bingbing Zhang +7 more
doaj +3 more sources
Sensors, 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
Mathematics, 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
Frontiers in Psychology, 2021 In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
doaj +1 more source
On absolute weighted mean summability methods [PDF]
Proceedings of the American Mathematical Society, 1992 In this paper we have proved the converse of the Bor-Thorpe theorem [2] on absolute weighted mean summability.
openaire +1 more source
IEEE Access, 2022 For the dynamic multi-attribute decision-making problem, the decision information is usually given in the form of the interval-valued picture fuzzy number (IVPFN), and the attributes are also usually related to each other, a decision method based on the ...
Jian-Ping Fan, Heng Zhang, Mei-Qin Wu
doaj +1 more source
Heuristic rating estimation - geometric approach [PDF]
, 2014 Heuristic Rating Estimation (HRE) is a newly proposed method supporting decisions analysis based on the use of pairwise comparisons. It allows that the ranking values of some alternatives (herein referred to as concepts) are initially known, whilst the ...
Grobler-Dębska, Katarzyna +2 more
core +2 more sources
PARALLEL COMPUTING FOR BLURRING IMAGE USING MEAN AND WEIGHTED AVERAGE METHOD
E-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 +1 more source
An Improved Adaptive Weighted Mean Filtering Approach for Metallographic Image Processing
Journal of Intelligent Systems, 2021 As noise brings great error in the analysis of metallographic images, an adaptive weighted mean filtering method proposed to overcome the shortcomings of the standard mean filtering method.
Shao Chonglei, Kaur Preet, Kumar Rajeev
doaj +1 more source
Fitting a function to time-dependent ensemble averaged data [PDF]
, 2018 Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Ambjornsson, Tobias +3 more
core +3 more sources