Showing 701 - 720 results of 53,535 for search '(unstructures OR structural) data', query time: 0.23s Refine Results
  1. 701

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

    Published 2020-01-01
    “…Empirical data concerning the practical use of original products from fibrereinforced foam concrete in the construction of residential and public buildings in Rostov-on-Don is presented.Conclusion. …”
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    Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

    Published 2024-11-01
    “…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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    New data on biology of siberian cisco <i>Coregonus sardinella</i> (Coregonidae) from the Anadyr River by Alexander V. Shestakov

    Published 2014-12-01
    “…Besides, the data collected previously in 1987 and 1992 were processed with modern research techniques. …”
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    Analysis of domain structure parameters of RFe11Ti (R = Y, Gd, Ho, Er) single crystals based on magnetic force microscopy data by A.M. Guseva, A.I. Sinkevich, S.D. Smetannikova, E.M. Semenova, Yu..G. Pastushenkov

    Published 2024-12-01
    “…Based on the magnetic force microscopy data, the sizes of domains on the basal plane of the samples were determined. …”
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    Reconstruction of Typhoon Structure Using 3-Dimensional Doppler Radar Radial Velocity Data with the Multigrid Analysis: A Case Study in an Idealized Simulation Context by Hongli Fu, Xinrong Wu, Wei Li, Yuanfu Xie, Guijun Han, Shaoqing Zhang

    Published 2016-01-01
    “…These data are used to reconstruct the synthetic 3D “typhoon” structure by the STMAS and the traditional 3D variational (3D-Var) analysis. …”
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  17. 717

    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&#x2013;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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