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  1. 3061

    Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning by Pengliang Wei, Jiao Guo, Jiaqian Lian, Chaoyang Wang

    Published 2025-01-01
    “…Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling–model structure combination on it, which may prevent full utilization of input data, especially for synthetic aperture radar images with fewer crop prior features. …”
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  2. 3062
  3. 3063

    opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

    Published 2025-05-01
    “…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. …”
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  4. 3064
  5. 3065
  6. 3066

    ALSTNet: Autoencoder fused long‐ and short‐term time‐series network for the prediction of tunnel structure by Bowen Du, Haohan Liang, Yuhang Wang, Junchen Ye, Xuyan Tan, Weizhong Chen

    Published 2025-03-01
    “…Abstract It is crucial to predict future mechanical behaviors for the prevention of structural disasters. Especially for underground construction, the structural mechanical behaviors are affected by multiple internal and external factors due to the complex conditions. …”
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  7. 3067

    Barium titanate/polyester resin nanocomposites: Development, structure-properties relationship and energy storage capability by I. A. Asimakopoulos, G. C. Psarras, L. Zoumpoulakis

    Published 2014-09-01
    “…Nanocomposite materials based on two different types of polyester matrix (a commercial type and a laboratory produced one) with embedded barium titanate nano-particles were developed and characterized. Structural and morphological characteristics of the produced composite specimens were studied via X-ray diffraction, Fourier transformation infra red spectroscopy, and scanning electron microscopy. …”
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  8. 3068

    Gender and age specifics of clinical status, structure-functional parameters of the heart, and their relationship with psychoemotional state of patients with chronic heart failure... by G. M. Dadashova

    Published 2016-04-01
    “…To assess gender and age specifics of clinical status, its relationship with psychoemotional state, assessment of structure-functional parameters of the heart in patients with chronic heart failure (CHF) after myocardial infarction (MI).Material and methods. …”
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  9. 3069
  10. 3070

    Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China) by Xiangpeng Wang, Xuben Wang, Kunpeng Wang, Wei Luo, Junqiu Xiao, Jin Hu, Depan Hu

    Published 2022-01-01
    “…The smoothness constrained least square method and three-dimensional unstructured grid method are used to interpret the ERT data, analyze the abnormal patterns of electrical structure of landslide in different seasons, and correspond well with the GPR data. …”
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  11. 3071

    Investigating the Effects of Debt Convergence of Companies on the Speed of Capital Structure Adjustment Considering the Time Horizon by Sayed Mojtaba Ahmadi, Mehdi Agha Beik Zadeh, Afsaneh Soroushyar

    Published 2024-12-01
    “…This study examined the capital structure adjustment speed between converged and non-converged companies in terms of financial leverage according to the timing of capital structure adjustment using data from companies listed on the Tehran Stock Exchange (TSE). …”
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  12. 3072

    Architectural Framework for An Integrated E-Demographic System Based on Browser-Server Structure: The Case of Nigeria by Zia-Ul-Rahman Abubakar

    Published 2024-12-01
    “…This research paper proposes architectural framework for an integrated e-demographic system (IEDS) based on browser-server (B/S) structure to improve data accessibility, availability, security, and scalability. …”
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  13. 3073

    Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification by Linqian Yang, Tao Zhuang, Xing Jin, Tianyang Cao, Xiyin Wu

    Published 2025-07-01
    “…Although existing methods have attempted to address this issue, they struggle to fully exploit the consistency and complementarity of multi-view multi-label data simultaneously. To overcome this limitation, we propose a novel structure-guided decoupled contrastive framework (SGDC). …”
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  14. 3074

    From patterned response dependency to structured covariate dependency: Entropy based categorical-pattern-matching. by Hsieh Fushing, Shan-Yu Liu, Yin-Chen Hsieh, Brenda McCowan

    Published 2018-01-01
    “…Distinct synergistic feature-groups embrace distinct structures of dependency. The explicit details of dependency among members of synergistic features are seen through mutliscale compositions of blocks computed by a computing paradigm called Data Mechanics. …”
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  15. 3075

    Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

    Published 2025-03-01
    “…ABSTRACT The geological structure of coal mines and the precise prediction of coal seam gas content are key factors in creating the transparent working face, and they also represent an important aspect of intelligent coal mining. …”
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  16. 3076

    Moral Values in the Fable "An-Nahlah wan-Namlah" by Ridwan Syukri: An Actantial and Functional Structure Study by Muhammad Riyadi Nugraha, Muhammad Hasyim, Abdul Muntaqim Al Anshory

    Published 2025-03-01
    “…Since narrative in storytelling is critical, this study aims to dissect the potential and functional structure in narratological studies and explore the moral values in the fabled story Al-Nahlah wa An-Namlah by Ridwan Syukri. …”
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  17. 3077

    INFLUENCE OF THE MOTOR VEHICLE PARKING STRUCTURE BY FUEL TYPE AND ECOLOGICAL CLASS ON GREENHOUSE GAS EMISSIONS by J. V. Trofimenko, V. A. Ginzburg, V. I. Komkov, V. M. Lytov

    Published 2019-01-01
    “…The results of estimating greenhouse gas (GHG) emissions by a vehicle fleet are described, using the COPERT-4 methodology and the baseline data contained in 1-BDD form, concerning the number of vehicle fleets in Russia and three options for detailing the fleet structure by the fuel type and ecological class in different organizations. …”
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  18. 3078

    A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection by Yinglong Dang, Xiaoguang Gao, Zidong Wang

    Published 2025-07-01
    “…BN learning includes structure learning and parameter learning, and structure learning is its core. …”
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  19. 3079
  20. 3080

    Effect of profitability, liquidity, and company size on capital structure: Evidence from Indonesia manufacturing companies by Yohanes Suhardjo, Abdul Karim, Mohamad Sigit Taruna

    Published 2022-06-01
    “…This study aims to see the effect of profitability,liquidity, and company size on the capital structure of the manufacturing companies listed on the Indonesian Stock Exchange in 2018-2020. …”
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