Showing 521 - 540 results of 53,535 for search '(unstructures OR (structured OR structural)) data', query time: 0.43s Refine Results
  1. 521

    The use of space geophysics data to establish a subsurface structural frameworks map on East Uweinat ring complexes province, Southwestern Desert, Egypt by Yaseen AAMER, Ashraf GHONEIMI, Salah HANAFY, Mohamed H. M. YOUSEF, Sara ZAMZAM

    Published 2025-03-01
    “…A qualitative and quantitative interpretation is used to highlight the subsurface geological picture and structure framework. The integration of these data helps to understand the subsurface structural framework and provide insights into the geological evolution of the region. …”
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    Article
  2. 522
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  4. 524

    Efficacy of golimumab in the treatment of patients with ankylosing spondylitis (according to the data of a long-term follow-up) by A. V. Smirnov, T. V. Dubinina, Sh. F. Erdes

    Published 2015-03-01
    “…The paper summarizes the data of a randomized placebo-controlled phase 3 GO-RAISE trial of spondylitis (AS) patients receiving two different doses (50 and 100 mg) of golimumab (GLM), which evaluates its efficiency and safety and X-ray progression of changes in the axial skeleton. …”
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  5. 525

    Dataset for evaluation and numerical modelling of structural performance of fibre-reinforced shotcrete with fibres of steel, synthetic and basaltMendeley Data by Andreas Sjölander, Erik Nordström, Anders Ansell

    Published 2025-08-01
    “…This could be used to get an indication of the required dosage of each fibre type to fulfil structural requirements. The raw data from the test machine is valuable for the numerical modelling of fibre-reinforced shotcrete. …”
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  6. 526

    Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

    Published 2025-06-01
    “…To achieve this goal, Bouguer gravity and aeromagnetic data were used, processed and analyzed. Various depth estimation techniques were employed to analyze subsurface structures, each offering distinct advantages. …”
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  9. 529

    Empirical Investigation of the Effects of the Measurement-Data Size on the Bayesian Structural Model Updating of a High-Speed Railway Bridge by Kodai Matsuoka, Haruki Yotsui, Kiyoyuki Kaito

    Published 2025-04-01
    “…Bayesian structural model updating (SMU) is among the most powerful methods for estimating the bending stiffness and modal damping of high-speed railway (HSR) bridges and predicting their bridge-response-based resonance responses. …”
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  10. 530

    Characterizing forest structural changes in response to non-stand replacing disturbances using bitemporal airborne laser scanning data by Tommaso Trotto, Nicholas C. Coops, Alexis Achim, Sarah E. Gergel, Dominik Roeser

    Published 2024-12-01
    “…These findings showed the potential of bitemporal ALS data in characterizing structural changes due to ESB infestations at fine scale based on canopy cover and height, relevant for forest management strategies to better target current and future infestations.…”
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  11. 531
  12. 532

    Analysis of the structural integrity of a frozen wall during a mine shaft excavation using temperature monitoring data by Lev Levin, Mikhail Semin, Ivan Golovatyi

    Published 2023-01-01
    “…The obtained dependencies of the maximum external load on the FW can be used to optimize the operation mode of the freezing station at the ice holding stage (or passive freezing) to increase the energy efficiency of the system and ensure the structural integrity of the FW.…”
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  13. 533

    Structural Condition Assessment and Temperature Effect Analysis of Cable–Pylon Anchorage Zone Using Long-Term SHM Data by Hanhui Ye, Zhijian Chen

    Published 2023-01-01
    “…Based on long-term structural health monitoring data, the signals were decomposed and reconstructed at multiple time scales, confirming temperature to be the main factor causing the stress change in the anchorage zone. …”
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  14. 534

    Tendon Anomaly Identification in Prestressed Concrete Beams Based on an Advanced Monitoring MEMS and Data-Driven Detection of Structural Damage by Giorgio de Alteriis, Giulio Mariniello, Tommaso Pastore, Alessia Teresa Silvestri, Giuseppe Augugliaro, Ida Papallo, Canio Mennuti, Antonio Bilotta, Rosario Schiano Lo Moriello, Domenico Asprone

    Published 2025-01-01
    “…The integration of MEMS sensors into structural health monitoring (SHM) systems offers a promising approach to long-term structural maintenance, especially in large-scale infrastructure. …”
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    Article
  15. 535

    REGIONAL STRUCTURAL‐TECTONIC ZONING OF THE UPPER CRUST OF TRANSBAIKALIA BASED ON SEISMOGRAVITATIONAL DATA ALONG REFERENCE PROFILE 1‐SB by V. D. Suvorov, E. A. Melnik, E. V. Pavlov, A. S. Salnikov

    Published 2018-07-01
    “…Upper crust features revealed from seismic data agree with known geological structures, this indicating the basic applicability of refraction surveys to tectonically complex areas with 7 to 10 km wide low‐angle dipping fault zones between blocks marked by velocity anomalies to depths of 4–6 km. …”
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    EVALUATION OF THE EFFICIENCY OF TOCILIZUMAB THERAPY IN PATIENTS WITH RHEUMATOID ARTHRITIS BY ULTRASOUND AND X-RAY DATA by Rita Aleksandrovna Osipyants, D E Karateev, E Yu Panasyuk, G V Lukina, A V Smirnov, S I Glukhova, E N Aleksandrova, A V Volkov, E L Nasonov

    Published 2013-02-01
    “…Hand USG (Voluson-i GE, USA) with a 4—13-MHz linear probe using an energy Doppler (ED) was carried out before and 6 months after therapy. Structural changes were evaluated by hand and foot X-ray study (before and at 12-month follow-up) according to the Sharp method modified by van der Heide. …”
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  18. 538

    A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

    Published 2025-06-01
    “…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
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  19. 539
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    Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

    Published 2025-05-01
    “…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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