Search alternatives:
structures » structure (Expand Search)
structural » structure (Expand Search)
Showing 1,601 - 1,620 results of 53,088 for search 'data (structures OR structural)', query time: 0.28s Refine Results
  1. 1601

    Using micro-seepage structures to mitigate salt crystallization in brine transport systems by GAO Zhenjun, LIU Hai, DAI Sheng, REN Jian, LI Hao, ZHOU Xiumei, OYBEK Ishnazarov, ZHANG Lisheng, ZHANG Jianbo

    Published 2025-05-01
    “…Measured data were used to analyze the micro-seepage characteristics of the structures and assess the impact of different micro-seepage rates on crystallization on the pipe wall under both static and dynamic conditions. …”
    Get full text
    Article
  2. 1602

    Untrained perceptual loss for image denoising of line-like structures in MR images. by Elisabeth Pfaehler, Daniel Pflugfelder, Hanno Scharr

    Published 2025-01-01
    “…We hereby translate the Perceptual Loss to 3D data by comparing feature maps of untrained networks in the loss function. …”
    Get full text
    Article
  3. 1603
  4. 1604
  5. 1605

    Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

    Published 2025-07-01
    “…Due to gravitational sorting during downslope transport and complex topographic constraints in narrow valleys, these dams generally exhibit inherently three-dimensional (3D), spatially heterogeneous internal structures. However, most existing breach simulation models assume material homogeneity for computational convenience, neglecting the influence of real-world structural non-uniformity. …”
    Get full text
    Article
  6. 1606

    Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

    Published 2025-01-01
    “…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
    Get full text
    Article
  7. 1607

    Post-Earthquake Fire Resistance in Structures: A Review of Current Research and Future Directions by Shahin Dashti, Barlas Ozden Caglayan, Negar Dashti

    Published 2025-03-01
    “…Key findings of current studies reveal that seismic damage, including spalling, cracking, and loss of fireproofing, substantially reduces the fire resistance of materials like steel and reinforced concrete, exacerbating structural vulnerabilities. Despite advancements, critical gaps persist in experimental data, probabilistic modeling, and comprehensive performance-based design guidelines for PEF scenarios. …”
    Get full text
    Article
  8. 1608
  9. 1609
  10. 1610

    Two-tier classification framework for mapping grassland types using multisource earth observation data by Min Zhang, Wenzheng Yu, Ang Chen, Cong Xu, Jian Guo, Xiaoyu Xing, Dong Yang, Zichao Wang, Xiuchun Yang

    Published 2024-12-01
    “…This framework was structured into two tiers: land cover (LC) classification and grassland-type mapping, with each tier using specific features tailored to its respective objectives. …”
    Get full text
    Article
  11. 1611

    Integrated Analysis by Geophysical and Spatial Data to Identify the Formation of Kepuhlegundi Hot Spring on Bawean Island by Rafi Muhammad Erfand Dzulfiqar, Fajar M Haris Miftakhul, Ulumuddin Faqih, Purwanto M Singgih

    Published 2024-08-01
    “…Bawean Island was formed due to the geological structure being controlled by the Paleogene-Neogene tectonic line in the Meratus Pattern. …”
    Get full text
    Article
  12. 1612

    Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

    Published 2002-12-01
    “…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
    Get full text
    Article
  13. 1613

    LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

    Published 2018-01-01
    “…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
    Get full text
    Article
  14. 1614
  15. 1615
  16. 1616

    Whole-genome resequencing data reveal the genetic diversity of local chickens in southern Zhejiang and surrounding areas in China by Yawen Zhang, Bo Zhang, Ziwei Li, Fengxiang Hou, Yan Zhao, Junjie Jin, Bin Song, Wenjie Gu

    Published 2025-03-01
    “…We investigated the genetic diversity and population structure of local chickens in southern Zhejiang and surrounding areas using whole-genome resequencing of 129 chickens from seven populations. …”
    Get full text
    Article
  17. 1617

    Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

    Published 2024-07-01
    “…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
    Get full text
    Article
  18. 1618

    Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

    Published 2024-04-01
    “…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
    Get full text
    Article
  19. 1619

    Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM) by   Solimun, Adji Achmad Rinaldo Fernandes

    Published 2023-12-01
    “…The research objectives are as follows: (1) Develop a solid structural model assuming normality and homoscedasticity. (2) Obtain the property estimator of the flexible and robust SFAM structural model. (3) Obtaining hypothesis testing of each relationship built from the flexible and strong SFAM structural model. …”
    Get full text
    Article
  20. 1620