Showing 401 - 420 results of 53,535 for search '((unstructures OR unstructures) OR (structures OR structural)) data', query time: 0.47s Refine Results
  1. 401

    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
  2. 402
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  4. 404

    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
  5. 405

    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
  6. 406

    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
  7. 407

    UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

    Published 2025-01-01
    “…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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    Article
  8. 408
  9. 409

    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
  10. 410

    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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    Article
  11. 411
  12. 412

    Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

    Published 2025-06-01
    “…Recent advances in sensor technology, data acquisition, and signal processing have enabled the development of data-driven structural health monitoring (SHM) strategies, offering a powerful alternative or complement to traditional model-based approaches. …”
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    Article
  13. 413
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    Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning by Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian, Naidi Sun, Bin Hu

    Published 2025-04-01
    “…In this study, we propose Mask-enhanced U-net (MeU-net) for recovering sparsely sampled PAM structural and functional images. The model utilizes dual-channel input, processing photoacoustic data from 532 nm and 558 nm wavelengths. …”
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    Article
  15. 415

    Structure of the Primorye Current (Japan Sea) on satellite ima- ges and standard sections by A. A. Nikitin, I. L. Tsypysheva, Yu. I. Zuenko, Yu. I. Zuenko

    Published 2024-12-01
    “…Based on satellite images and standard sections obtained in 2000–2024, spatial structure of the Primorye Current as a band of cold waters along the coast of Primorye is considered. …”
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  16. 416

    Enceladus's internal ocean and ice shell constrained from Cassini gravity, shape, and libration data by Ondřej Čadek, Gabriel Tobie, Tim Van Hoolst, Marion Massé, Gaël Choblet, Axel Lefèvre, Giuseppe Mitri, Rose‐Marie Baland, Marie Běhounková, Olivier Bourgeois, Anthony Trinh

    Published 2016-06-01
    “…Here we develop an interior structure model consisting of a rocky core, an internal ocean, and an ice shell, which satisfies simultaneously the gravity, shape, and libration data. …”
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    Article
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    Structural applications of CODE_BRIGHT: a review on numerical modelling of reinforced soil structures by Aníbal Moncada, Aníbal Moncada, Ivan P. Damians, Ivan P. Damians, Ivan P. Damians

    Published 2025-05-01
    “…A common application of RSS is in retaining structures, in the form of reinforced soil walls (RSWs). …”
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    Article
  19. 419

    A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

    Published 2025-07-01
    “…Post-disaster field observations of the built environment are critical for advancing fundamental research that links hazard data to structural performance, cascading community impacts, and the development of effective mitigation strategies. …”
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    Article
  20. 420