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    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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  3. 1463
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    Indicator-Type Grey Structure Incidence Analysis Method for Panel Data and Its Application in Identifying Technological Innovation Factors by Shuqin Gu, Yong Liu, Lu Yue

    Published 2025-06-01
    “…There exist many panel data decision problems in real life, and they take on obvious structural similarities and lag effects among decision objects or indicators, which are difficult to solve effectively based on traditional panel data analysis methods. …”
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  5. 1465

    Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study by Samuel Hugh Wolrige, Damon Howe, Hamed Majidiyan

    Published 2025-03-01
    “…Despite advancements in direct sensing technologies, accurately capturing complex wave–structure interactions remain a significant challenge in ship and ocean engineering. …”
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  6. 1466
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    A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

    Published 2025-10-01
    “…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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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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    Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

    Published 2025-01-01
    “…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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  14. 1474

    Comparison of two methods in determining hearing loss type and hearing loss degree: mobile application coded with artificial neural networks and conditional structures by Ahmet Yasin Disci, Ozlem Konukseven, Rukiye Tanisir Disci

    Published 2025-07-01
    “…In this study, it is aimed to distinguish the types and degrees of hearing loss with loops created by codes written using deep learning methods and conditional structures. Method A data set consisting of 1000 pure tone airway and pure tone bone conduction hearing tests performed in the audiology clinic was prepared for this study. …”
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    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. …”
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  17. 1477

    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. …”
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  18. 1478

    Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures by Mohammad Reza Zadkarami, Mohammad Reza ghalani

    Published 2019-11-01
    “…The Schizophrenia Collaborative Study data invokes the proposed MFSN model. The results confirm that the first-order autoregressive (AR(1)) structure substantially enhances the estimation of the parameters. …”
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  19. 1479

    Multifunctional TPMS-based interpenetrating phase composites: A comprehensive review of structure, properties, piezoelectricity and applications by Kishor B. Shingare, Suhas Alkunte, Baosong Li, Andreas Schiffer, Ian Kinloch, Kin Liao

    Published 2025-07-01
    “…It highlights their pivotal role in advancing technology and addressing contemporary challenges while illuminating the uncharted possibilities presented by TPMS cellular structures in the dynamic landscape of 3D printing.…”
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