Showing 581 - 600 results of 53,535 for search '(unstructures OR structural) data', query time: 0.25s Refine Results
  1. 581

    Structure and growth of a Danish research infrastructure and support unit for health research – OPEN (Open Patient data Explorative Network) by Katrine Hass Rubin, Emilie Rosenfeldt Christensen, Janni Brødbaek, Tanja Gram Petersen, Anna Skat Nielsen

    Published 2025-05-01
    “…Methods This paper presents a descriptive case on the structure of the research support unit OPEN (Open Patient data Explorative Network). …”
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    Article
  2. 582
  3. 583

    Protein secondary structure determined from independent and integrated infra-red absorbance and circular dichroism data using the algorithm SELCON by Søren Vrønning Hoffmann, Nykola C. Jones, Alison Rodger

    Published 2025-01-01
    “…Protein circular dichroism (CD) and infrared absorbance (IR) spectra are widely used to estimate the secondary structure content of proteins in solution. A range of algorithms have been used for CD analysis (SELCON, CONTIN, CDsstr, SOMSpec) and some of these have been applied to IR data, though IR is more commonly analysed by bandfitting or statistical approaches. …”
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  4. 584
  5. 585

    Fatigue strength of welded aluminum structures – A re-evaluation of fatigue data of welded aluminum joints with nominal stress approach by Juho Havia, Antti Ahola, Timo Björk

    Published 2025-06-01
    “…This work analyzes the applicability of the nominal stress approach to welded aluminum joints, with respect to the second generation of Eurocode 9: Design of Aluminium Structures and recommendations of International Institute of Welding, utilizing experimental fatigue test data extracted from existing relevant literature. …”
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    D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification by Teng Yang, Song Xiao, Jiahui Qu

    Published 2025-05-01
    “…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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    Article
  8. 588

    Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

    Published 2025-03-01
    “…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. …”
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  14. 594

    An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

    Published 2019-06-01
    Subjects: “…Data transformation, NoSQL, R programming, Structured query language.…”
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    Article
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  16. 596

    Safety Assessment of Tunnel Lining Structure with Underlying Cavities Based on Fuzzy Comprehensive Evaluation in Mudstone Stratum by Yiming Wang, Haoxuan Wang

    Published 2024-06-01
    “…The weight and membership degree are determined using an improved method: field data analysis and numerical simulation. Field data analysis revealed that the proportion of cavities in the surrounding rocks of class ? …”
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    Dataset for tilt-up solid and composite insulated wall panels under combined axial and lateral loadingMendeley Data by Salam Al-Rubaye, Marc Maguire

    Published 2025-06-01
    “…Notably, this dataset fills a gap in the available literature, as no comprehensive dataset exists for insulated walls, and limited data is available for traditional tilt-up walls. …”
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  19. 599

    The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data by Jaemin So, Seungjae Lee, Jonghyeok Seong, Donwoo Lee

    Published 2025-05-01
    “…A SHAP analysis further confirms that the CSA-based model learns more meaningful structural relationships. The findings emphasize the critical role of high-quality training data in ANN-based structural design and suggest the potential for extending the framework to multi-objective design tasks.…”
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    Article
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