Showing 2,801 - 2,820 results of 53,535 for search '(unstructures OR structural) data', query time: 0.34s Refine Results
  1. 2801

    STRUCTURAL FEATURES OF PURULENT INFLAMMATORY DISEASES OF THE MAXILLOFACIAL REGION IN RESIDENTS OF THE POLTAVA REGION by D.V. Steblovskyi, M.G. Skikevich, V.V. Bondarenko

    Published 2020-12-01
    “…The aim of the study. Investigate the structure and frequency of purulent inflammatory diseases in residents of Poltava region. …”
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    Article
  2. 2802

    A Unified Graph Theory Approach: Clustering and Learning in Criminal Data by Haifa Al-Ibrahim, Heba Kurdi

    Published 2024-12-01
    “…However, traditional clustering approaches face significant challenges with the complex, unstructured nature of crime reports and their inherent sparse relationships. …”
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    Article
  3. 2803

    Structural Geomorphology and Tectonic Dynamism of the Lolodorf Segment, Nyong Complex, SW Cameroon by Messi Ottou Eric José, Etoundi Akoa Philémon Rémi, Ntieche Benjamin, Ntomba Sylvestre Martial, Evina Aboula Yannick Saturnin, Ndjigui Paul-Désiré

    Published 2025-06-01
    “…This study has assessed the morphological and geological dynamism Lokoundjé and Nyong watersheds landscapes using both qualitative and quantitative data based on Digital Elevation Models (DEM) at 30 m resolution. …”
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    Article
  4. 2804

    Pharmacovigilance in the digital age: gaining insight from social media data by Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong

    Published 2025-05-01
    “…However, the unstructured nature of social media content presents challenges in data analysis, including variability and potential biases. …”
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    Article
  5. 2805

    Structural and morphological features of microcrystalline сellulose from industrial hemp hurd by L. O. Barybina, T. V. Tkachenko, O. O. Haidai, V. S. Sokol, B. V. Korinenko, D. S. Kamenskyh, Y. V. Sheludko, V. A. Povazhny, V. A. Bohatyrenko, S. V. Ruban, V. O. Yevdokymenko

    Published 2024-11-01
    “…= 22–23° which corresponds to the plane 002 of the crystal lattice of natural cellulose I. Based on these data, the crystallinity index was calculated – 0.88. …”
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    Article
  6. 2806
  7. 2807

    The arabic version of the fat phobia scale—short form: reliability and structural validity by Hadeel Ghazzawi, Ahmad Alenezi, Sally Souraya, Omar Alhaj, Khaled Trabelsi, Adam Amawi, Mai Helmy, Zahra Saif, Beatrice “Bean” E. Robinson, Haitham Jahrami

    Published 2025-02-01
    “…According to the fit indices, the F-Scale 14 demonstrated a satisfactory level of structural validity in Arab cultures. Fit indices are statistical measures used in confirmatory factor analysis (CFA) to assess how well a proposed model fits the observed data. …”
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    Article
  8. 2808

    Structural abnormalities of the cerebellar gray matter and cerebellar peduncles in cervical dystonia patients by Mingjing Qiu, Yongsheng Xiang, Lixi Li, Lizhen Pan, Yunping Song, Liang Feng, Lingjing Jin

    Published 2025-09-01
    “…Between-group differences in gray matter volumes of cerebellar subregions and fiber morphometric properties of the cerebellar peduncles (CP) were investigated using voxel-based, region of interest-based and fixel-based analysis, respectively. The significant structural changes were correlated with clinical data, including disease duration and the first section of TWSTRS. …”
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    Article
  9. 2809

    Organic materials database: An open-access online database for data mining. by Stanislav S Borysov, R Matthias Geilhufe, Alexander V Balatsky

    Published 2017-01-01
    “…The OMDB web interface allows users to retrieve materials with specified target properties using non-trivial queries about their electronic structure. We illustrate the use of the OMDB and how it can become an organic part of search and prediction of novel functional materials via data mining techniques. …”
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    Article
  10. 2810
  11. 2811

    Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation by Songtao Li, Weigang Li, Yang Li

    Published 2022-01-01
    “…This work proposes a novel unsupervised deep non-negative matrix factorization (NMF) model called AGDNMF by deep exploration of the structure of the original data. Compared with the existing NMF research results, the model explores the deep association of data and constructs accurate spatial structure from a new perspective. …”
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    Article
  12. 2812

    A Support Vector Regression Approach for Three–Level Longitudinal Data by Mohammad Moqaddasi Amiri, Leili Tapak, Javad Faradmal

    Published 2019-09-01
    “…Background: Longitudinal data structure is frequently observed in health science. …”
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  13. 2813
  14. 2814
  15. 2815

    A collaborative auditing scheme with dynamic data updates based on blockchain by Jie Xiao, Hui Huang, Chenhuang Wu, Qunshan Chen, Zhenjie Huang

    Published 2023-12-01
    “…The EigenTrust model evaluates the reputation of each user's audit behaviour, effectively avoiding the probability of malicious users participating. For data update, we introduce the Pseudo Index Linked List(PIL) index management structure, which reduces the size of the index management structure to adapt to the blockchain's characteristics and makes the update operation have a constant time complexity. …”
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    Article
  16. 2816

    Data measurement system for non-destructive quality testing of hard alloys by I. K. Tsybrii, I. L. Vyalikov, V. I. Ignatenko

    Published 2018-12-01
    “…Traditional methods of monitoring the structure and phase composition according to the results of selective destructive tests prevent from receiving quality data under the production conditions and do not guarantee the identity of the properties of all batch products under study. …”
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    Article
  17. 2817

    Data‐driven Buck converter model identification method with missing outputs by Jie Hou, Xinhua Zhang, Huiming Wang, Shiwei Wang

    Published 2024-09-01
    “…Based on the recovered data, the subspace identification method provides accurate estimates of the structure and parameter of the Buck converter synchronously. …”
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    Article
  18. 2818

    Identification of the governing equation of stimulus-response data for run-and-tumble dynamics. by Shicong Lei, Yu'an Li, Zheng Ma, Hepeng Zhang, Min Tang

    Published 2025-08-01
    “…Moreover, the model can be used to deduce the underlying structure of hidden intracellular biochemical dynamics. …”
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  19. 2819
  20. 2820

    Realising value from big data analytics: The process of affordance actualisation by Firdous Mohd Farouk, Christophe Schinckus, Sandra Smith

    Published 2025-06-01
    “…Guided by affordance actualisation theory, this article uses a critical realist case study approach to examine BDA affordance actualisation in a Malaysian-owned regional bank. Data collection involved an online survey, semi-structured interviews, and archival reviews. …”
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