Showing 401 - 420 results of 53,535 for search '(unstructures OR (structured OR structural)) data', query time: 0.38s Refine Results
  1. 401

    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
  2. 402
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    Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas by Laura Loredana Micoli, Umair Shafqat Malik, Gabriele Guidi

    Published 2024-09-01
    “… This paper presents a methodology for the virtual reconstruction of no longer existing archaeological structures, focusing on cases where the remains are concealed within contemporary urban environments. …”
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    Article
  4. 404

    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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  5. 405
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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
  7. 407

    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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    Article
  8. 408

    Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

    Published 2024-01-01
    “…We developed a joint entity and relation model and proposed a novel auxiliary component to enhance the model performance by interpreting token-level information. Using the annotated data, we trained the model for automatically converting information from a narrative radiology report into the structured representation, which achieved a micro-F1 of 96.6% and 96.1% on named entity recognition, 94.0% and 89.8% on entity attribute recognition, and 89.5% and 86.6% on relation extraction, on the MIMIC-CXR and CheXpert test sets, respectively. …”
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  9. 409

    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
  10. 410

    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
  11. 411

    Generating high-resolution global unstructured meshes by Liu Zhuang, Huang Xiaomeng

    Published 2022-06-01
    “…The Spherical Centroid Voronoi tessellations(SCVT) are a kind of high-quality unstructured meshes, which are adopted by well-known earth system models at home and abroad. …”
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  12. 412

    Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling by Ionut Nica, Simona-Vasilica Oprea, Adela Bara

    Published 2025-01-01
    “…Furthermore, the Structural Equation Model (SEM) is created to examine relationships between latent and observed variables, using maximum likelihood estimation. …”
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    Article
  13. 413

    JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

    Published 2024-10-01
    “…In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into many categories from unstructured data. Moreover, the DL model used is Infectious Disease Network (ID-Net) which combines Convolutional Neural Network (CNN) and Bidirectional-Long Short-Term Memory (Bi-LSTM). …”
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    The Relationship between Urban Functional Structure and Insomnia: An Exploratory Analysis in Beijing, China by Sirui Chen, Lijun Xing, Yu Liu, Jiwei Xu

    Published 2024-09-01
    “…There is growing evidence that environmental factors may be associated with sleep disorders, but few studies have explored the relationship between insomnia and urban functional structure from a spatial perspective. This study collected multi-source big data (e.g., insomnia posts on Weibo, locations of urban facilities on Baidu) and explored the effects of different urban spatial element configurations on residents’ insomnia. …”
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