Showing 21 - 40 results of 64 for search 'Multivariate coupled application', query time: 0.09s Refine Results
  1. 21
  2. 22

    Application of volatilomics for meat quality, authenticity, and adulteration detection by Jin-Kyu Seo, Jeong-Uk Eom, Han-Sul Yang

    Published 2025-12-01
    “…This review synthesizes recent advances in meat volatilomics and discusses the methodological challenges and future research directions needed to enhance its applicability across diverse meat matrices.…”
    Get full text
    Article
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27

    Statistical approaches for modeling correlated grade and tonnage distributions and applications for mineral resource assessments by Joshua M. Rosera, Graham W. Lederer, John H. Schuenemeyer

    Published 2025-06-01
    “…We present a modified version of the MapMark4 package in R that introduces two alternatives for modeling grade and tonnage distributions, consisting of a multivariate solution that accounts for correlations between ore tonnage and metal grades and an empirical solution that utilizes simple random sampling with replacement to reproduce coupled grades and tonnages from the input data. …”
    Get full text
    Article
  8. 28
  9. 29
  10. 30
  11. 31
  12. 32

    Application of Holistic Liquid Chromatography-High Resolution Mass Spectrometry Based Urinary Metabolomics for Prostate Cancer Detection and Biomarker Discovery. by Tong Zhang, David G Watson, Lijie Wang, Muhammad Abbas, Laura Murdoch, Lisa Bashford, Imran Ahmad, Nga-Yee Lam, Anthony C F Ng, Hing Y Leung

    Published 2013-01-01
    “…Based on normalised data (against creatinine levels, osmolality or MS total useful signals/MSTUS) coupled with supervised multivariate analysis using Orthogonal Partial Least Square-Discriminant Analysis (OPLS-DA), we were able to discriminate urine samples from men with or without prostate cancer with R2Y(cum) >0.9. …”
    Get full text
    Article
  13. 33

    An Improved Multi-Objective Adaptive Human Learning Optimization Algorithm and Its Application in Optimizing Formulation Schemes for Rotary Hearth Furnaces by Jun Yao, Songcheng Zhou, Ling Wang, Xianxia Zhang

    Published 2025-06-01
    “…This study develops a complex, multivariable optimization framework for raw material formulation in rotary hearth furnaces (RHF), addressing the inherent coupling effects among compositional control, operational stability, and resource efficiency. …”
    Get full text
    Article
  14. 34

    Association of serum selenium with MASLD and liver fibrosis: A cross-sectional study. by Wenying Guo, Ting Weng, Yufei Song

    Published 2024-01-01
    “…<h4>Results</h4>Through the application of linear regression models, our comprehensive data analysis revealed significant insights. …”
    Get full text
    Article
  15. 35

    Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

    Published 2025-01-01
    “…Under the condition of lacking meteorological forecast data, this paper proposes to utilize a temporal convolutional network (TCN) to extract the coupled spatial features among multivariate loads. …”
    Get full text
    Article
  16. 36
  17. 37

    Analysis of Sealing Performance and Mechanism of Biomimetic Superoleophobic Surface Structure by Q. Li, S. Cheng, Z. Hou, W. Zhao, Q. Guan

    Published 2025-05-01
    “…A multilayer microarray structure was designed using multivariate coupled mimetic theory. The structure consists of a smooth surface, a primary biomimetic weave surface, and a secondary biomimetic weave surface. …”
    Get full text
    Article
  18. 38

    Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

    Published 2025-01-01
    “…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
    Get full text
    Article
  19. 39

    Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization by Trung Nguyen-Quang, Minh Bui-Quang, Thinh Pham-Van, Nhan Le-Van, Khanh Nguyen-Hoang, Duc Nguyen-Minh, Tinh Phung-Thi, Anh Le-Viet, Duc Tran-Ha Minh, Dat Nguyen-Tien, Tuan-Anh Hoang-Le, Minh Truong-Ngoc

    Published 2023-01-01
    “…However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. …”
    Get full text
    Article
  20. 40