Log in

Relevant bibliographies by topics / Multivariate segmentation / Journal articles

To see the other types of publications on this topic, follow the link: Multivariate segmentation.

Journal articles on the topic 'Multivariate segmentation'

Author: Grafiati

Published: 22 June 2024

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Multivariate segmentation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Klose, J. "Binary Segmentation for Multivariate Polynomials." Journal of Complexity 11, no. 3 (1995): 330–43. http://dx.doi.org/10.1006/jcom.1995.1015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Esteban, Oscar, Gert Wollny, Subrahmanyam Gorthi, et al. "MBIS: Multivariate Bayesian Image Segmentation tool." Computer Methods and Programs in Biomedicine 115, no. 2 (2014): 76–94. http://dx.doi.org/10.1016/j.cmpb.2014.03.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Portillo-García, J., I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-López. "Efficient multispectral texture segmentation using multivariate statistics." IEE Proceedings - Vision, Image, and Signal Processing 145, no. 5 (1998): 357. http://dx.doi.org/10.1049/ip-vis:19982315.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Lim, Hyunki, Heeseung Choi, Yeji Choi, and Ig-Jae Kim. "Memetic algorithm for multivariate time-series segmentation." Pattern Recognition Letters 138 (October 2020): 60–67. http://dx.doi.org/10.1016/j.patrec.2020.06.022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Hallac, David, Peter Nystrup, and Stephen Boyd. "Greedy Gaussian segmentation of multivariate time series." Advances in Data Analysis and Classification 13, no. 3 (2018): 727–51. http://dx.doi.org/10.1007/s11634-018-0335-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Sudbury, Lynn, and Peter Simcock. "A multivariate segmentation model of senior consumers." Journal of Consumer Marketing 26, no. 4 (2009): 251–62. http://dx.doi.org/10.1108/07363760910965855.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Omranian, Nooshin, Sebastian Klie, Bernd Mueller-Roeber, and Zoran Nikoloski. "Network-Based Segmentation of Biological Multivariate Time Series." PLoS ONE 8, no. 5 (2013): e62974. http://dx.doi.org/10.1371/journal.pone.0062974.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Ip, Barry, and Gabriel Jacobs. "Segmentation of the games market using multivariate analysis." Journal of Targeting, Measurement and Analysis for Marketing 13, no. 3 (2005): 275–87. http://dx.doi.org/10.1057/palgrave.jt.5740154.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Noordam, J. C., W. H. A. M. van den Broek, and L. M. C. Buydens. "Unsupervised segmentation of predefined shapes in multivariate images." Journal of Chemometrics 17, no. 4 (2003): 216–24. http://dx.doi.org/10.1002/cem.794.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Laksono, Bagaskoro Cahyo, and Ika Yuni Wulansari. "Estimating Customer Lifetime Value in the E-Commerce Industry Using Multivariate Analysis." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (2022): 507–18. http://dx.doi.org/10.34123/icdsos.v2021i1.161.

Full text

Abstract:

Companies can develop their business using big data to support decision-making. Big data in the e-commerce industry that includes size and speed of high transactions can be used to analyze customer behaviour and predict customer value. Nowadays, companies are starting to develop customer-oriented rather than product-oriented business interests. One way that can be used to determine customer value is by calculating Customer Lifetime Value (CLV). By knowing CLV at the individual level, it will be useful to help decision-makers to develop customer segmentation and resource allocation. It is impor

APA, Harvard, Vancouver, ISO, and other styles

11

Lei, Tao, Yi Wang, and Weiwei Luo. "Multivariate Self-Dual Morphological Operators Based on Extremum Constraint." Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/596348.

Full text

Abstract:

Self-dual morphological operators (SDMO) do not rely on whether one starts the sequence with erosion or dilation; they treat the image foreground and background identically. However, it is difficult to extend SDMO to multichannel images. Based on the self-duality property of traditional morphological operators and the theory of extremum constraint, this paper gives a complete characterization for the construction of multivariate SDMO. We introduce a pair of symmetric vector orderings (SVO) to construct multivariate dual morphological operators. Furthermore, utilizing extremum constraint to opt

APA, Harvard, Vancouver, ISO, and other styles

12

Guo, Hongyue, Xiaodong Liu, and Lixin Song. "Dynamic programming approach for segmentation of multivariate time series." Stochastic Environmental Research and Risk Assessment 29, no. 1 (2014): 265–73. http://dx.doi.org/10.1007/s00477-014-0897-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Wang, Ling, Kang Li, Qian Ma, and YanRong Lu. "Hybrid dynamic learning mechanism for multivariate time series segmentation." Statistical Analysis and Data Mining: The ASA Data Science Journal 13, no. 2 (2020): 165–77. http://dx.doi.org/10.1002/sam.11448.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

K. Naveen Kumar,. "Multivariate Approach for Texture Segmentation using Probabilistic Statistical Model." Journal of Electrical Systems 20, no. 2 (2024): 2381–85. http://dx.doi.org/10.52783/jes.2003.

Full text

Abstract:

The analysis of the regions of the image is of the prerogatives in the fields of medical and global systems meant for location identification. This analysis is strongly associated with partitions of regions of interest such as segmentation. For an effective strategy of analyzing the regions of interest, texture of the image plays a major concern. The texture is generally characterized using signal processing methods namely Discrete Cosine Transformation coefficients and their specific insights leading to feature vector selection. Further, to identify regions, a statistical model needs to be id

APA, Harvard, Vancouver, ISO, and other styles

15

Castro-López, Claudio, Purificación Vicente-Galindo, Purificación Galindo-Villardón, and Oscar Borrego-Hernández. "TAID-LCA: Segmentation Algorithm Based on Ternary Trees." Mathematics 10, no. 4 (2022): 560. http://dx.doi.org/10.3390/math10040560.

Full text

Abstract:

In this work, a statistical method for the segmentation of samples and/or populations is presented, which is based on a ternary tree structure. This approach overcomes known limitations of other segmentation methods such as CHAID, concerning the multivariate response and the non-symmetric relationship between explanatory and response variables. The multivariate response segmentation problem is handled through latent class models, while the factorial decomposition of the explanatory capability of variables is based on the Non-Symmetrical Correspondence Analysis. Stop criteria based on the CATAN

APA, Harvard, Vancouver, ISO, and other styles

16

ANJUM, ARFA, SEEMA JAGGI, SHWETANK LALL, et al. "Segmentation of genomic data through multivariate statistical approaches: comparative analysis." Indian Journal of Agricultural Sciences 92, no. 7 (2022): 892–96. http://dx.doi.org/10.56093/ijas.v92i7.118040.

Full text

Abstract:

Segmenting a series of measurements along a genome into regions with distinct characteristics is widely used toidentify functional components of a genome. The majority of the research on biological data segmentation focuses on the statistical problem of identifying break or change-points in a simulated scenario using a single variable. Despite the fact that various strategies for finding change-points in a multivariate setup through simulation are available, work on segmenting actual multivariate genomic data is limited. This is due to the fact that genomic data is huge in size and contains a

APA, Harvard, Vancouver, ISO, and other styles

17

Li, Min, and Yu-Mei Huang. "An $L_0$-Norm Regularized Method for Multivariate Time Series Segmentation." East Asian Journal on Applied Mathematics 12, no. 2 (2022): 353–66. http://dx.doi.org/10.4208/eajam.180921.050122.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Somasekhar, G., K. Srinivasa Krishna, Ashok Kumar Reddy, T. Kishore Kumar, and G. Somasekhar. "Shopper Segmentation Using Multivariate Risk Analysis for Innovative Marketing Strategies." International Journal of Asian Business and Information Management 12, no. 1 (2021): 60–74. http://dx.doi.org/10.4018/ijabim.20210101.oa4.

Full text

Abstract:

Shopper buying behaviour is essential for the retailers to segment the shoppers in accordance to their disruptive attitude and perception for better innovative strategies which may lead to higher profits. The major purpose of this study to categorize the shoppers into distinct groups based on their risk-based perception for the organized retail outlets in Bangladesh. Seven hundred eighty-five respondents were responding on 21 variables related to store which influence their buying behaviour. In the present study, the shoppers were classified into three segments such as value seekers and disrup

APA, Harvard, Vancouver, ISO, and other styles

19

Hosseini, Jamshid C., Robert R. Harmon, and Martin Zwick. "An Information Theoretic Framework for Exploratory Multivariate Market Segmentation Research." Decision Sciences 22, no. 3 (1991): 663–77. http://dx.doi.org/10.1111/j.1540-5915.1991.tb01289.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Piccolboni, Antonio. "Multivariate Segmentation in the Analysis of Transcription Tiling Array Data." Journal of Computational Biology 15, no. 7 (2008): 845–56. http://dx.doi.org/10.1089/cmb.2007.0141.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Zhuang, Xiahai. "Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images." IEEE Transactions on Pattern Analysis and Machine Intelligence 41, no. 12 (2019): 2933–46. http://dx.doi.org/10.1109/tpami.2018.2869576.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Willse, Alan, and Bonnie Tyler. "Poisson and Multinomial Mixture Models for Multivariate SIMS Image Segmentation." Analytical Chemistry 74, no. 24 (2002): 6314–22. http://dx.doi.org/10.1021/ac025561i.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Noordam, J. C., W. H. A. M. van den Broek, and L. M. C. Buydens. "Multivariate image segmentation with cluster size insensitive Fuzzy C-means." Chemometrics and Intelligent Laboratory Systems 64, no. 1 (2002): 65–78. http://dx.doi.org/10.1016/s0169-7439(02)00052-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Lambert, Christian, Antoine Lutti, Gunther Helms, Richard Frackowiak, and John Ashburner. "Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians." NeuroImage: Clinical 2 (2013): 684–94. http://dx.doi.org/10.1016/j.nicl.2013.04.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Hazel, G. G. "Multivariate Gaussian MRF for multispectral scene segmentation and anomaly detection." IEEE Transactions on Geoscience and Remote Sensing 38, no. 3 (2000): 1199–211. http://dx.doi.org/10.1109/36.843012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Li, Min, Yumei Huang null, and Youwei Wen. "A Total Variation Based Method for Multivariate Time Series Segmentation." Advances in Applied Mathematics and Mechanics 15, no. 2 (2023): 300–321. http://dx.doi.org/10.4208/aamm.oa-2021-0209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Picard, F., E. Lebarbier, E. Budinskà, and S. Robin. "Joint segmentation of multivariate Gaussian processes using mixed linear models." Computational Statistics & Data Analysis 55, no. 2 (2011): 1160–70. http://dx.doi.org/10.1016/j.csda.2010.09.015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Lu, Chang, Jiyou Fei, Xing Zhao, and Xiongfei Shao. "Laser Cutting Thermal Error Prediction Method Based on Multivariate Segmentation." Journal of Physics: Conference Series 2541, no. 1 (2023): 012027. http://dx.doi.org/10.1088/1742-6596/2541/1/012027.

Full text

Abstract:

Abstract With the increasing accuracy of manufacturing processing, laser cutting has become one of the best ways to cut thin-walled parts. A multivariate segmented thermal error prediction method is proposed for thermal errors in laser cutting. Based on actual processing data, we analyzed the thermal expansion of the material during the cutting process. Modeling simulation and heat deformation prediction are performed. W18Cr4V material was used as the study object for computational verification. The results show that multiple-segmented regression can achieve data accuracy of more than 90.4%. F

APA, Harvard, Vancouver, ISO, and other styles

29

Neubauer, Jakob, Konrad Wilhelm, Christian Gratzke, Fabian Bamberg, Marco Reisert, and Elias Kellner. "Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography." PLOS ONE 18, no. 6 (2023): e0286016. http://dx.doi.org/10.1371/journal.pone.0286016.

Full text

Abstract:

Computed tomography (CT) is used to diagnose urolithiasis, a prevalent condition. In order to establish the strongest foundation for the quantifiability of urolithiasis, this study aims to develop semi-automated urolithiasis segmentation methods for CT images that differ in terms of surface-partial-volume correction and adaptive thresholding. It also examines the diagnostic accuracy of these methods in terms of volume and maximum stone diameter. One hundred and one uroliths were positioned in an anthropomorphic phantom and prospectively examined in CT. Four different segmentation methods were

APA, Harvard, Vancouver, ISO, and other styles

30

Noyel, Guillaume, Jesus Angulo, Dominique Jeulin, Daniel Balvay, and Charles-André Cuenod. "MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES." Image Analysis & Stereology 34, no. 1 (2014): 1. http://dx.doi.org/10.5566/ias.1109.

Full text

Abstract:

We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. To perform this approach, we consider DCE-MRI series as multivariate images. A full multivariate segmentation method based on dimensionality reduction, noise filtering, supervised classification and stochastic watershed is explained and tested on several data sets. The two main key-points introduced in this paper are noise reduction preserving contours and spatio temporal segmentation by stochastic watershed. Noise reduction is perf

APA, Harvard, Vancouver, ISO, and other styles

31

Senthilkumar, R., B. RubanRaja, and Monisha. "Brand Positioning and Segmentation of Sneakers through Multi-Dimensional Customer Experience Analysis." Journal of Scientific Research 13, no. 2 (2021): 335–45. http://dx.doi.org/10.3329/jsr.v13i2.47841.

Full text

Abstract:

A huge corpus of valuable information on customer experience is available as unstructured form in customer reviews on e-commerce websites. Multivariate data analysis techniques are effective in uncovering hidden patterns and segments in structured data. A major challenge is to convert the unstructured data into a structured form for applying multivariate techniques. In this article, we have provided a text analysis based approach coupled with multivariate techniques to uncover the sentiment of various features associated with different brands and to determine the brand positions and segments t

APA, Harvard, Vancouver, ISO, and other styles

32

UR, Orth, and J. Turečková. "Segmenting the tourism market using perceptual and attitudinal mapping." Agricultural Economics (Zemědělská ekonomika) 48, No. 1 (2012): 36–48. http://dx.doi.org/10.17221/5286-agricecon.

Full text

Abstract:

Decreasing numbers of tourists to the Czech Republic point at a weakening competitive position of Czech destinations during the most recent years. For many communities, tourism may be a short-lived economic dream when understanding of tourists&acute; perceptions and travel motives is lacking. The two objectives pursued in this study are 1) an identification of the positions of competing destinations and 2) an a-posteriori segmentation with psychographic variables. Market segmentation becomes the crucial factor in the strategic design process of target marketing. Like many other markets, to

APA, Harvard, Vancouver, ISO, and other styles

33

Lim, Jong Gwan, Mi-hye Kim, and Sahngwoon Lee. "Empirical Validation of Objective Functions in Feature Selection Based on Acceleration Motion Segmentation Data." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/280140.

Full text

Abstract:

Recent change in evaluation criteria from accuracy alone to trade-off with time delay has inspired multivariate energy-based approaches in motion segmentation using acceleration. The essence of multivariate approaches lies in the construction of highly dimensional energy and requires feature subset selection in machine learning. Due to fast process, filter methods are preferred; however, their poorer estimate is of the main concerns. This paper aims at empirical validation of three objective functions for filter approaches, Fisher discriminant ratio, multiple correlation (MC), and mutual infor

APA, Harvard, Vancouver, ISO, and other styles

34

Mishulina, O. A., and I. N. Sukonkin. "Multivariate time series segmentation for generalized description of dynamic systems operation." Optical Memory and Neural Networks 21, no. 2 (2012): 94–104. http://dx.doi.org/10.3103/s1060992x12020038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Ma, Yi, Harm Derksen, Wei Hong, and John Wright. "Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression." IEEE Transactions on Pattern Analysis and Machine Intelligence 29, no. 9 (2007): 1546–62. http://dx.doi.org/10.1109/tpami.2007.1085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Schenone, A., F. Firenze, F. Acquarone, M. Gambaro, F. Masulli, and L. Andreucci. "Segmentation of multivariate medical images via unsupervised clustering with “adaptive resolution”." Computerized Medical Imaging and Graphics 20, no. 3 (1996): 119–29. http://dx.doi.org/10.1016/0895-6111(96)00008-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Liu, Zhe, Yu-Qing Song, Jian-Mei Chen, Cong-Hua Xie, and Feng Zhu. "Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials." Neural Computing and Applications 21, no. 4 (2011): 801–11. http://dx.doi.org/10.1007/s00521-011-0538-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Abonyi, Janos, Balazs Feil, Sandor Nemeth, and Peter Arva. "Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series." Fuzzy Sets and Systems 149, no. 1 (2005): 39–56. http://dx.doi.org/10.1016/j.fss.2004.07.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Ling, Hui Zhu, and Gaofeng Jia. "Adaptive G–G clustering for fuzzy segmentation of multivariate time series." Stochastic Environmental Research and Risk Assessment 34, no. 9 (2020): 1353–67. http://dx.doi.org/10.1007/s00477-020-01817-w.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Tanatavikorn, Harakhun, and Yoshiyuki Yamashita. "Batch Process Monitoring Based on Fuzzy Segmentation of Multivariate Time-Series." Journal of Chemical Engineering of Japan 50, no. 1 (2017): 53–63. http://dx.doi.org/10.1252/jcej.16we193.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Han, Minyeon, and F. C. Park. "DTI Segmentation and Fiber Tracking Using Metrics on Multivariate Normal Distributions." Journal of Mathematical Imaging and Vision 49, no. 2 (2013): 317–34. http://dx.doi.org/10.1007/s10851-013-0466-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Qin, A. K., and David A. Clausi. "Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty." IEEE Transactions on Image Processing 19, no. 8 (2010): 2157–70. http://dx.doi.org/10.1109/tip.2010.2045708.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Lazar, Cosmin, Andrei Doncescu, and Nabil Kabbaj. "Non Negative Matrix Factorisation clustering capabilities; application on multivariate image segmentation." International Journal of Business Intelligence and Data Mining 5, no. 3 (2010): 285. http://dx.doi.org/10.1504/ijbidm.2010.033363.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Ding, Mingtao, Lihan He, David Dunson, and Lawrence Carin. "Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process." Bayesian Analysis 7, no. 4 (2012): 813–40. http://dx.doi.org/10.1214/12-ba727.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Noordam, J. C., and W. H. A. M. van den Broek. "Multivariate image segmentation based on geometrically guided fuzzy C-means clustering." Journal of Chemometrics 16, no. 1 (2002): 1–11. http://dx.doi.org/10.1002/cem.656.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Ling, and Peng Shen. "Memetic segmentation based on variable lag aware for multivariate time series." Information Sciences 657 (February 2024): 120003. http://dx.doi.org/10.1016/j.ins.2023.120003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Medl, Matthias, Dianne Cook, and Ursula Laa. "Demonstrating the Capabilities of the lionfish Software for Interactive Visualization of Market Segmentation Partitions." Austrian Journal of Statistics 54, no. 3 (2025): 71–99. https://doi.org/10.17713/ajs.v54i3.2058.

Full text

Abstract:

Market segmentation partitions multivariate data using some clustering algorithm, resulting in some number of homogeneousclusters of consumers for marketing purposes. Often this type of data has no clear cluster structure, that is, no separations or gapsbetween clusters of points exist, which is why this is considered partitioning rather than clustering. Understanding the differencesbetween the clusters is typically done by examining single features. However, this can be inconclusive as multiple clusters might share similar characteristics on individual features and the market segmentation par

APA, Harvard, Vancouver, ISO, and other styles

48

Dai, Bing, Yingjie Peng, Ning Lin, and Peng Wang. "Bearing Fault Diagnosis Based on Prime Mean Spectral Segmentation Kurtogram." Journal of Physics: Conference Series 2419, no. 1 (2023): 012080. http://dx.doi.org/10.1088/1742-6596/2419/1/012080.

Full text

Abstract:

Abstract The spectrum-based fault feature extraction method for industrial equipment can avoid the problems of modal aliasing and end effects caused by mode decomposition in the time domain. This paper proposes a kurtogram constructed based on prime mean spectral segmentation. The preset framework realizes fast spectral segmentation, and the multivariate segmentation mode provides a more reasonable distribution of center frequency and bandwidth. The precise location and diagnosis of faults can be achieved by scanning shocks in each frequency band by spectral negentropy. Simulation signals and

APA, Harvard, Vancouver, ISO, and other styles

49

Zhang, Changrui, and Jia Wang. "PIS-Net: Efficient Medical Image Segmentation Network with Multivariate Downsampling for Point-of-Care." Entropy 26, no. 4 (2024): 284. http://dx.doi.org/10.3390/e26040284.

Full text

Abstract:

Recently, with more portable diagnostic devices being moved to people anywhere, point-of-care (PoC) imaging has become more convenient and more popular than the traditional “bed imaging”. Instant image segmentation, as an important technology of computer vision, is receiving more and more attention in PoC diagnosis. However, the image distortion caused by image preprocessing and the low resolution of medical images extracted by PoC devices are urgent problems that need to be solved. Moreover, more efficient feature representation is necessary in the design of instant image segmentation. In thi

APA, Harvard, Vancouver, ISO, and other styles

50

Makhambayeva, I. U. "ADAPTIVE SEGMENTATION OF MULTI-WIRE TRANSMISSION LINES." ТЕХНИКА ҒЫЛЫМДАРЫ ЖӘНЕ ТЕХНОЛОГИЯ 8, no. 4 (2024): 11–17. https://doi.org/10.52081/tst.2024.v04.i8.044.

Full text

Abstract:

The article discusses a comparison of adaptive segmentation methods for multi-wire transmission lines in quasi-static analysis by the method of moments. A two-dimensional version of the method of moments for transmission lines is presented and an overview of the adaptive iterative choice of optimal segmentation of the boundaries of conductors and dielectrics in electrostatics problems is presented, as well as an overview of the joint use of quasi-statics and electrodynamics with the method of moments. The construction of the grid affects the properties of the resulting system of linear algebra

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!