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Showing 241 - 260 results of 53,535 for search '((structures OR (structures OR unstructure)) OR structural) data', query time: 0.47s Refine Results
  1. 241

    Encapsulation structure and dynamics in hypergraphs by Timothy LaRock, Renaud Lambiotte

    Published 2023-01-01
    “…We then turn to the impact of the observed structural patterns on diffusive dynamics, focusing on a variant of threshold models, called encapsulation dynamics, and demonstrate that non-random patterns can accelerate the spreading in the system.…”
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    Article
  2. 242

    DECODING OF STRUCTURALLY AND LOGICAL CODES by Yu. D. Ivanov, I. N. Nikolov, B. V. Lozka

    Published 2016-07-01
    “…There are shown the basic points of the generalized algorithm of decoding SLC, which is based on the method of perfect matrix arrangement (PMA) of the n-dimensional cube vertices for adequate representation and transformation of boolean functions, which is based on the method of generating sequences of variables for building the maximum coverage of the cube vertices. The structural and logical codes (SLC) use natural logic redundancy of the infimum disjunctive normal forms (IDNF) of boolean functions, which make the basis for building the SLC codes and correcting the errors, that occur during data transfer in real discrete channels, on the channels with independent errors. …”
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  3. 243

    Content and Structure of Scientific Values by Kürşad Demirutku, Elis Güngör

    Published 2021-08-01
    “…The present research was the first attempt to integrate scientific values into the circular structure of values. Results were discussed as confirming the hypothesized structure of scientific values, and as providing initial support for the convergent and divergent validity of the scientific values measure. …”
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  4. 244

    STRUCTURE OF THE NODULAR GOITER IN CHILDREN by O. S. Rogova, L. N. Samsonovа, G. F. Okminyan

    Published 2015-10-01
    “…There is a few available literature data about study of this problem in children. Objective: to study morphofunctional structure of thyroid nodules in children.The article provides information consisting of the results of a retrospective analysis of case histories of 73 patients, operated with nodular goiter in Z.A. …”
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  5. 245

    Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure by You-Liang Ding, Gao-Xin Wang, Peng Sun, Lai-Yi Wu, Qing Yue

    Published 2015-01-01
    “…The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. …”
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    Article
  6. 246

    LONG-LIVED STRUCTURAL ENSEMBLES OF THE EAST EUROPEAN PLATFORM. Article 2. THE STRUCTURE OF THE TOP OF THE BASEMENT by S. Y. Kolodyazhny

    Published 2018-06-01
    “…Using an «iris diaphragm» model and the reconstructions with reversing plate rotation makes possible to explain the main patterns of the long-lived vortex structure of the EEP.…”
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  7. 247
  8. 248

    Investigation on Structural Performance of Integral Steel Wall Plate Structure in Cable–Pylon Anchorage Zone by Chen Liang, Yuqing Liu, Yimin Liu, Chi Lu

    Published 2025-08-01
    “…The results were compared with experimental data of a conventional type of anchorage zone. Then, finite element models of anchorages with steel anchor boxes were established based on the geometries of an as-built bridge, and the performance of the IWP structure was compared with conventional details. …”
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  9. 249

    Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

    Published 2021-01-01
    “…Owing to its high efficiency, the structure–property models obtained by this approach can be employed to calculate the properties of chemical compounds for which experimental data are unavailable.…”
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  10. 250

    Coal structure identification method based on three-terminal tuple chart in complex structure area by Jianghai ZOU, Gang XIANG, Yinlan FU, Yongyu YANG, Hengyi ZHAO, Jian ZHENG

    Published 2025-07-01
    “…When the logging curve data of compensated density, resistivity, and natural gamma are selected as the three-terminal points of the three-terminal tuple chart, different coal body structure types are well distinguished on the three-terminal tuple chart. …”
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  11. 251

    Improving Data Cleaning by Learning From Unstructured Textual Data by Rihem Nasfi, Guy de Tre, Antoon Bronselaer

    Published 2025-01-01
    “…Leveraging successful artificial intelligence techniques across various domains, several initiatives have introduced machine learning models to tackle these data-quality related issues. In this paper, we study a novel strategy to enhance data cleaning using a machine learning-based model trained on unstructured data. …”
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  12. 252
  13. 253

    An Improved Man-Made Structure Detection Method for Multi-aspect Polarimetric SAR Data by Fabin Dong, Qiang Yin, Wen Hong

    Published 2025-01-01
    “…The comprehensive multiaspect scattering characteristics are valuable for man-made structure detection and classification. Typically, the anisotropic scattering of targets could be characterized by the differences in the statistical properties of polarimetric data across aspects. …”
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  16. 256

    STUDY OF THE PECULIARITIES OF THE STRUCTURE OF THE NASOLACRIMAL DUCT ORIFICE ACCORDING TO THE DATA OF MULTISLICE COMPUTED TOMOGRAPHY by E. L. At’kova, V. D. Yartsev, N. N. Krakhovetskiy, L. V. Reznikova, A. O. Root

    Published 2018-05-01
    “…To develop a method for investigating the perculiarities of the structure of the nasolacrimal duct orifice according to the data of multislice computed tomography (MSCT).Material and methods. …”
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  17. 257

    A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

    Published 2025-12-01
    “…This study posits that a structured preprocessing and feature selection methodology might substantially improve the classification accuracy and generalizability of machine learning (ML) models in predicting stages of hepatitis C virus (HCV) using clinical and demographic data. …”
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