Showing 221 - 240 results of 53,535 for search '((unstructures OR unstructural) OR structures) data', query time: 0.36s Refine Results
  1. 221

    Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

    Published 2024-11-01
    “…In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. To harness the full potential of multiple‐source subsurface observations, two distinct neural networks extract implicit features from hard and soft data. …”
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  2. 222

    The intraorganic architecture of musculoskeletal structures in maxillofacial area of children according to x-ray diagnostics data

    Published 2020-04-01
    “…The combined use of the methods of teleradiography, computer and magnetic resonance imaging to study the structure of bone structures of MFA on the same object provides information that significantly reinforce the concept of morpho-functional unity of all structural components of the facial part of the head.…”
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  3. 223

    A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures by Yuriy Shablya

    Published 2023-10-01
    “…Based on this idea, a method for compressing event log data based on combinatorial generation using AND/OR tree structures is proposed. …”
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  4. 224

    Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas by Guiju Wu, Fei Yu, Hongbo Tan, Jiapei Wang, Weihua Liu

    Published 2025-02-01
    “…In this study, a gravity data-fused method is proposed. The Moho depth model data are utilized to construct the gravity anomaly trend, and the mapping relation between the gravity field model data and the measured gravity data is established. …”
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    Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

    Published 2023-01-01
    “…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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  11. 231

    NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

    Published 2025-06-01
    “…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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  12. 232

    Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

    Published 2024-12-01
    “…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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  13. 233

    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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