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  1. 121

    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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    Article
  2. 122

    SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

    Published 2025-01-01
    “…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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    Article
  3. 123

    Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

    Published 2025-01-01
    “…This output provides a topologically structured representation of the image data, allowing spectrally similar pixels to be grouped together and the similarity of different clusters to be assessed. …”
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  4. 124
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  6. 126

    23 Generative artificial intelligence for automated unstructured MRI data extraction in prostate cancer care by William Pace, Andrew Liu, Marvin Carlisle, Robert Krumm, Janet Cowan, Peter Carroll, Matthew Cooperberg, Anobel Odisho

    Published 2025-04-01
    “…Objectives/Goals: Magnetic resonance imaging (MRI) reports are stored as unstructured text in the electronic health record (EHR), rendering the data inaccessible. …”
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    Article
  7. 127

    Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

    Published 2025-08-01
    “…Semantic maps, which embed semantic information into spatial representations, enable robots to better interpret complex environments and improve their autonomous operation in unstructured, GPS-denied, and extreme settings. In this context, an advanced semantic SLAM algorithm, termed NN-SLAM, is proposed based on the fusion of visual and laser data. …”
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    Article
  8. 128

    Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

    Published 2025-06-01
    “…Among these, the neutronic-thermal-mechanical coupling and neutronic-thermal-fluid coupling analyses have a significant impact on the reactor design. In addressing the data transfer issues in the multiphysics coupling process of reactors, this study employs a hybrid approach that integrates unstructured mesh (UM) Monte Carlo with finite element methods. …”
    Article
  9. 129

    The Influence of Ownership Structure on the Financial Performance of Banks by Sigit Pamungkas, Muchtar Hidayat, Muhammad Syarif, Farah Margaretha Leon, Henny S. Lestari

    Published 2024-12-01
    Subjects: “…Ownership Structure, Financial Performance, Banking, Panel Data Regression, Indonesia Stock Exchange…”
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    Article
  10. 130
  11. 131

    A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

    Published 2021-01-01
    “…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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    Article
  12. 132
  13. 133

    Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

    Published 2025-06-01
    “…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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    Article
  14. 134
  15. 135

    Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

    Published 2025-07-01
    “…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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    Article
  16. 136

    Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

    Published 2025-03-01
    “…This research presents a more robust, data driven, small‐scale, flood damage estimation approach for residential buildings. …”
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    Article
  17. 137

    Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

    Published 2022-01-01
    “…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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  18. 138
  19. 139

    MATERIALS AND MODERN STRUCTURAL SOLUTIONS FOR BUILDING STRUCTURES by L. V. Morgun, A. Yu. Bogatina, V. N. Morgun

    Published 2020-01-01
    “…An analysis of the effectiveness of heat-insulating and structural fibre-reinforced concrete in terms of their mechanical and physical properties, including frost resistance, is carried out.Results. …”
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  20. 140