Showing 101 - 120 results of 50,948 for search 'data application', query time: 0.32s Refine Results
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    A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

    Published 2025-03-01
    “…There are four main problems in LithoScanner Logging data processing: 1. Core data used to calibrate the dry weight of LithoScanner Logging elements are difficult to locate; 2. …”
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  3. 103

    Extracting Daily Routines from Raw RSSI Data by Raúl Montoliu, Emilio Sansano-Sansano, Marina Martínez-García, Sergio Lluva-Plaza, Ana Jiménez-Martín, José M. Villadangos-Carrizo, Juan Jesús García-Domínguez

    Published 2025-04-01
    “…Detecting behavioral routines is an important research area with many implications in various practical applications. One such application involves studying the behavior of older adults residing in care homes. …”
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  4. 104

    Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

    Published 2025-08-01
    “…This study aimed to propose a methodology that integrates multivariate and space-time analyses to obtain an optimized sample configuration, using spatio-temporal data and application zones. First, three spatial multivariate clustering methods were evaluated to obtain the application zone (fuzzy C-means, K-means and Ward). …”
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    Joint modelling of longitudinal data: a scoping review of methodology and applications for non-time to event data by Rehema K. Ouko, Mavuto Mukaka, Eric O. Ohuma

    Published 2025-02-01
    “…An exponential increase in the application of joint modelling of non-time-to-event longitudinal data has been observed in the last decade. …”
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    Applications of Entropy in Data Analysis and Machine Learning: A Review by Salomé A. Sepúlveda-Fontaine, José M. Amigó

    Published 2024-12-01
    “…In particular, the subject of this review is their applications in data analysis and machine learning. The reason for these particular applications is that entropies are very well suited to characterize probability mass distributions, typically generated by finite-state processes or symbolized signals. …”
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  11. 111

    Sensor data cleaning for applications in dairy herd management and breeding by Katharina Schodl, Anna Stygar, Franz Steininger, Christa Egger-Danner

    Published 2024-12-01
    “…This article presents guidelines for sensor data cleaning with a specific focus on dairy herd management and breeding applications. …”
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  12. 112

    A new proportional hazard model with applications to breastfeeding data by Yolanda M. Gómez, Wilson E. Caimanque, John L. Santibáñez, Rocío Zúñiga-Tapia, Diego I. Gallardo, Marcelo Bourguignon

    Published 2025-07-01
    “…Additionally, a regression model for censored data is presented. The parameters of the proposed distribution are estimated using the maximum likelihood approach. …”
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  13. 113

    Application of Big Data Clustering Algorithm in Electrical Engineering Automation by Yongchang Zhang, Zhe Zhang

    Published 2022-01-01
    “…Compared with the other two control methods, the average noise of this control method is 19.774 dB, 35.462 dB, and 36.323 dB, which proves that the control method combined with big data clustering algorithm has better practical application effect.…”
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    The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications by Sultan Salem, Zahid Khan, Hamdi Ayed, Ameni Brahmia, Adnan Amin

    Published 2021-01-01
    “…The suggested distribution is especially effective for modeling data that are roughly symmetric or skewed to the right. …”
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    Application of edge computing technology in smart grid data security by Zhuo Cheng, Jiangxin Li, Jianjun Zhang, Chen Wang, Hui Wang, Juyin Wu

    Published 2025-02-01
    “…Absrtact: In order to solve the problem that the two-way flow of power and information between user nodes and service nodes in the smart grid poses a huge threat to the privacy and security of user data, and at the same time, the limitation of the power bureau's computing resources also brings users response delay, service quality degradation and other problems, the author proposes the application of edge computing technology in smart grid data security. …”
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