Showing 2,281 - 2,300 results of 53,088 for search 'data (structures OR (structural OR structure))', query time: 0.47s Refine Results
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    NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function by Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthele, Narly Golestani

    Published 2025-01-01
    “…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. …”
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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
    “…The results of an experimental study of the magnetic domain structure on the basal plane of RFe11Ti single crystals (R=Y, Gd, Ho, Er) by magnetic force microscopy are presented. …”
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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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    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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    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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    Lateral Impact of Travelling Fires on Structural Elements in Large Compartments: Insights from Test 1 by Naveed Alam, Ali Nadjai

    Published 2025-06-01
    “…The structural steelwork was supplied with additional dummy columns for data acquisition purposes. …”
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    Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

    Published 2019-04-01
    “…The present study will improve our knowledge about the structure of the seismogenic layer of this active intraplate region…”
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    Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China by Hanzi Chen, Yue Liu, Zirui Wang

    Published 2024-09-01
    “…The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. …”
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    Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

    Published 2025-01-01
    “…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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