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  1. 101

    Panel Data Analysis of Export Structure and Growth: Case of BRICS-T Countries by Necip Dündar, Yüksel Bayraktar

    Published 2024-07-01
    “…Realisation of specialisation in areas dominated by technological production structure and the technological level of exported goods are essential determinants of macroeconomic performance. …”
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    Article
  2. 102

    Comprehensive testing of large language models for extraction of structured data in pathology by Bastian Grothey, Jan Odenkirchen, Adnan Brkic, Birgid Schömig-Markiefka, Alexander Quaas, Reinhard Büttner, Yuri Tolkach

    Published 2025-03-01
    “…Abstract Background Pathology departments generate large volumes of unstructured data as free-text diagnostic reports. Converting these reports into structured formats for analytics or artificial intelligence projects requires substantial manual effort by specialized personnel. …”
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  3. 103
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  5. 105

    NEW DATA ON THE GEOLOGICAL STRUCTURE OF THE SYNNYR ULTRA-K INTRUSIVE FORMATION by S. A. Smyslov, A. E. Kayukov, A. O. Bystritsky, A. N. Sokolova, I. A. Sotnikova, A.  Yu. Rytsk

    Published 2022-10-01
    “…An extensive complex of geological and geochemical studies has been carried out, including exploratory drilling, which was carried out on the massif for the first time. The data obtained made it possible to significantly change the idea of the structure of the massif, including a different look at the regularities of the placement of potash-alumina ores, significantly increasing the ore potential and the reliability of its assessment. …”
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  6. 106

    Disassembling-Based Structural Damage Detection Using Static Measurement Data by Eun-Taik Lee, Hee-Chang Eun

    Published 2019-01-01
    “…Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. The former utilizes measurement data at all degrees of freedom (DOFs) for structural damage detection, while the latter utilizes data of members and substructures at a few DOFs. …”
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  7. 107

    Intra-BRICS Trade: A Panel Data Analysis with Structural Breaks by Alper Yılmaz

    Published 2022-12-01
    “…For this purpose, we employed the Westerlund and Edgerton cointegration approach to check for cointegration under structural breaks and the procedure for the asymmetric Granger non-causality test to assess the causal relationship between the custom tariff and export variables of BRICS countries with regard to the panel data methodology for the 2000-2020 period using annual data. …”
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  8. 108

    Simplex-structured matrix factorisation: application of soft clustering to metabolomic data by Wenxuan Liu, Thomas Brendan Murphy, Lorraine Brennan

    Published 2025-05-01
    “…The SSMF presented successfully estimates a soft clustering of the metabolomic data. It provides an interpretable representation of the data structure using the cluster prototypes combined with cluster memberships. …”
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  9. 109
  10. 110

    The method to develop classifi ers based on geometrical interpretation of data structure by М. N. Nessonova

    Published 2014-04-01
    “…It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.…”
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    Article
  11. 111

    Estimation of interface tension in the structured disperse systems using rheological data by G. A. Grigoriev, R. G. Allahverdov, U. U. Stoliarov

    Published 2006-04-01
    “…A novel equation was obtained with the use of Deriagin equation and equation for estimation of the yield strength of structured emulsion. This equation permits us to estimate the surface tension in the water medium-oil particle interface (P-M) with the aid of experimental data. …”
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  12. 112

    Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

    Published 2025-01-01
    “…This output provides a topologically structured representation of the image data, allowing spectrally similar pixels to be grouped together and the similarity of different clusters to be assessed. …”
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    Article
  13. 113

    A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

    Published 2021-01-01
    “…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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    Article
  14. 114
  15. 115

    Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

    Published 2025-06-01
    “…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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  16. 116
  17. 117

    Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

    Published 2025-07-01
    “…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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  18. 118

    Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

    Published 2025-03-01
    “…This research presents a more robust, data driven, small‐scale, flood damage estimation approach for residential buildings. …”
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  19. 119

    Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

    Published 2022-01-01
    “…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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  20. 120