Showing 1 - 20 results of 2,231 for search '(structural OR structure) variance', query time: 0.13s Refine Results
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    Comparing Information Theory Analysis With Cross‐Correlation and Minimum Variance Analysis of the Solar Wind Structures by K. M. Holland, H. K. Nykyri, X. Ma, S. Wing

    Published 2024-07-01
    “…In this paper, we use 2 years of data in the solar wind from lunar orbiting ARTEMIS and MMS spacecraft upstream of the Earth's bow shock to study the structure of the IMF. We determine the lag times of IMF structures and their dependence on spacecraft positions by conducting an information theory analysis and comparing it with two traditional analysis methods: cross‐correlation (CC) analysis and minimum variance of magnetic field analysis (MVAB). …”
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    How to improve forest biodiversity management by comparing broad-scale stands' structural spatial heterogeneity between two forests by Elias Milios, Kyriachi Kitikidou

    Published 2025-06-01
    “…By comparing the variances of the Gini-Simpson index values calculated from diameter at breast height (DBH) or tree height distributions in randomly sampled plots, structural differences can be effectively quantified. …”
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    Special Cement-Based Grouting Material for Subway Structure Repair During Operation Performance Sensitivity Analysis by Wei Song, Xiaokai Niu, Zhitian Xie, He Wang, Jie Su, Chentao Xu

    Published 2025-07-01
    “…This study uses ordinary Portland–sulfate–silicate composite cement as the matrix and investigates the effects of water–cement ratio, HPMC dosage, and PCS dosage on the performance of specialized grouting materials for subway structure repair during operation through single-factor experiments and orthogonal experiments. …”
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    Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

    Published 2024-10-01
    “…Experimental results indicate that the proposed Noise2Variance method exhibits commendable performance on peak signal noise ratio and structural similarity metrics compared to existing self‐supervised denoising techniques. …”
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