Showing 61 - 80 results of 844 for search '(functional OR function) principal components analysis', query time: 0.22s Refine Results
  1. 61

    Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

    Published 2023-09-01
    “…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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  2. 62

    Agronomic Characteristics of <i>Glycyrrhiza korshinskyi</i> Grig. Newly Registered as Origin Plants in Korean Pharmacopoeia by Dongkyun Son, JaeWan Park, Sunhee Woo, Jeonghoon Lee

    Published 2025-03-01
    “…In conclusion, this research evaluated the agronomic characteristics of <i>G. korshinskyi</i> resources through growth traits, correlation analysis, and principal component analysis. This research establishes a foundation for future breeding programs and functional studies.…”
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    PRINCIPAL COMPONENT ANALYSIS-VECTOR AUTOREGRESSIVE INTEGRATED (PCA-VARI) MODEL USING DATA MINING APPROACH TO CLIMATE DATA IN THE WEST JAVA REGION by Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah

    Published 2022-03-01
    “…This study uses the Principal Component Analysis (PCA) model combined with Vector Autoregressive Integrated (VARI) called the PCA-VARI model through the data mining approach. …”
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    Air quality investigation using functional data analysis methods by Akvilė Vitkauskaitė, Milda Salytė

    Published 2023-11-01
    “…The analysis employs data smoothing, principal component analysis (PCA), exploratory data analysis, hypothesis testing, and time series analysis to provide a thorough examination. …”
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    Leveraging Principal Component Analysis for Data-Driven and Objective Weight Assignment in Spatial Decision-Making Framework for Qanat-Induced Subsidence Susceptibility Assessment... by Farzaneh Naeimiasl, Hossein Vahidi, Niloufar Soheili

    Published 2025-05-01
    “…To address this gap, this study developed a novel spatial objective weighting approach based on Principal Component Analysis (PCA)—as an unsupervised Machine Learning (ML) technique—within a spatial decision-making framework specifically designed for railway susceptibility assessment. …”
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    Key to the Atlantic Gates of the Arctic by Gordeeva Svetlana, Belonenko Tatyana, Morozova Lidia

    Published 2022-05-01
    “…We consider the decomposition of water temperature fields into the Empirical Orthogonal Functions (EOFs), also known as Principal Components (PCs). …”
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    Effect of Frying Combined with Roasting on the Quality of Roasted Green Tea by ZHANG Rongxiang, DU Yaru, ZHANG De, DONG Zhijie, NI Dejiang, ZHENG Shibing, YU Zhi

    Published 2025-01-01
    “…The roller frying parameters were optimized using principal component analysis (PCA). The results revealed that five principal components (PCs) were extracted in PCA performed on 32 physicochemical indexes, which together explained 90.06% of the total variance. …”
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  13. 73

    Establishing and verifying soil quality index model based on GIS and remote sensing for cultivated lands under semi-humid terrestrial ecosystem by Ismail Fatih Ormanci, Orhan Dengiz

    Published 2025-06-01
    “…In addition, principal component analysis was used to select a minimum data set of the most sensitive indicators. …”
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  14. 74

    Variables associated with cognitive function: an exposome-wide and mendelian randomization analysis by Yong-Li Zhao, Yi-Ning Hao, Yi-Jun Ge, Yi Zhang, Lang-Yu Huang, Yan Fu, Dan-Dan Zhang, Ya-Nan Ou, Xi-Peng Cao, Jian-Feng Feng, Wei Cheng, Lan Tan, Jin-Tai Yu

    Published 2025-01-01
    “…And LASSO, rigde, and principal component analysis indicated the robustness of the primary results. …”
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    FOOD WASTE MANAGEMENT USING STATISTICAL ANALYSIS TO OBTAIN NEW FUNCTIONAL PRODUCTS by Gjore NAKOV, Zlatin ZLATEV, Nastia IVANOVA, Ivan DIMOV

    Published 2020-01-01
    “…Using the partial least squares regression (PLS), principal component analysis (PCA), and factor analysis (FA) methods, it has been determined the optimum amount of APP for cookies preparation. …”
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  18. 78

    云南不同品种及成熟度橄榄油主要功能成分分析Analysis of the main functional components of olive oil from different varieties and maturity levels in Yunnan Province... by 耿树香,李勇杰,王玺 GENG Shuxiang, LI Yongjie, WANG Xi

    Published 2025-03-01
    “…Taking sixteen lipid concomitants namely β-carotene, squalene, β-sitosterol, quercetin, luteolin, apigenin, caffeic acid, p-coumaric acid, ferulic acid, vanillic acid, oleuropein, hawthorn acid, hydroxytyrosol, tyrosol, α-tocopherol and oleocanthal as the indexes, the principal component analysis on 18 olive oil samples showed that the quality of olive oil from Picual, Koroneiki and Ezhi8 of maturity 1 was better, and the optimal harvest time of six varieties olive fruits was maturity level 1. …”
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  19. 79

    Generation of Stochastic Daily Precipitation for China Based on Empirical Orthogonal Function Analysis by Yang Yifei, Fang Weihua, Zheng Jinli, Fu Jingxuan

    Published 2025-04-01
    “…To address this gap, we aimed to explore a method for generating daily stochastic precipitation events set at a 0.1° grid scale nationwide based on empirical orthogonal function (EOF) analysis and probabilistic fitting of principal component coefficients. …”
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