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  1. 241

    THE COMPARISON BETWEEN STRUCTURAL PARTICLE “地” IN MANDARIN AND STRUCTURAL PARTICLE “DENGAN” ATAU “SECARA” IN INDONESIAN by Elvira Septevany, Liu Dandan, Qin Weifen, Lu Xing

    Published 2021-03-01
    “…In order to compare these two words, the writer uses contrastive analysis which is a study to identify the differences and similarities between Indonesian and Mandarin structural particle. The data collection technique was done by using purposive sampling technique. …”
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    Article
  2. 242

    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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  3. 243

    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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  4. 244

    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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  5. 245

    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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    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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    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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    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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    Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

    Published 2025-01-01
    “…The co-occurrence technique of words is used to illustrate the structure of knowledge in new scientific fields. In the current study, which is development in terms of purpose and descriptive-analytical in terms of method; It is taken from the co-occurrence analysis of words for further analysis and understanding of the field of urban data mining. …”
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  16. 256

    Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

    Published 2025-06-01
    “…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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