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  1. 481

    Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

    Published 2025-07-01
    “…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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    Article
  2. 482

    Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

    Published 2024-11-01
    “…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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    Article
  3. 483

    SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

    Published 2018-07-01
    “…Our study aimed to clarify the seismic potential of the Severobaikalsk fault and to discover the structural features of active faults on the NW shores of Lake Baikal. …”
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    Article
  4. 484

    Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis by Saif Agha, Eric Psota, Simon P. Turner, Craig R. G. Lewis, Juan Pedro Steibel, Andrea Doeschl-Wilson

    Published 2025-03-01
    “…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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    Article
  5. 485
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  7. 487

    Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

    Published 2024-01-01
    “…However, the identification of geo - thermal manifestations in this location is limited, so magnetic data can help identify subsurface geological structures to confirm the geo thermal potential in this area. …”
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    Article
  8. 488
  9. 489

    Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

    Published 2025-04-01
    “…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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    Article
  10. 490

    Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data by Guilherme Henrique Rossi Vieira, Ritermayer Monteiro Teixeira, Leila Cristina Meneghetti, Sandoval José Rodrigues Júnior

    Published 2025-07-01
    “…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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    Article
  11. 491

    Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

    Published 2024-04-01
    “…At present, a large number of scientific works devoted to the study of the features of the geological structure and the development of oil deposits in complex carbonate reservoirs are based on the use of any one research method. …”
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    Article
  12. 492
  13. 493

    A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

    Published 2025-07-01
    “…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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    Article
  14. 494

    Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

    Published 2025-06-01
    “…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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    Article
  15. 495

    Conserved genome structure and phylogenetic insights for the heterogeneous subfamily of Convallarioideae (Asparagaceae) revealed from plastome data by Shao-De Wu, Ran Meng, Ze-Long Nie, Ming-Yang Song, Xing-Ru Chen, Jun Wen, Ying Meng

    Published 2025-05-01
    “…Despite its importance, chloroplast genome data for Convallarioideae remain limited, hindering a comprehensive understanding of their genome structural evolution and phylogenetic relationships. …”
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  16. 496
  17. 497

    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
  18. 498
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  20. 500

    Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

    Published 2025-03-01
    “…This research employs agent-based models (ABM) to simulate spatial information and explore the spatial function distribution of planned sites under urban spatial function penetration, thereby guiding the structural morphology of scheduled sites.MethodsThis research adopts a spatial network analysis design method using slime mold intelligence based on mapping point of interest (POI) data. …”
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