Showing 641 - 660 results of 53,535 for search '((unstructures OR unstructural) OR structural) data', query time: 0.40s Refine Results
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    Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

    Published 2025-07-01
    “…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. Then, a multi-view cluster structure guided one-class BLS-autoencoder (MOCBLSAEs) is proposed, which learns the discriminative patterns of normal traffic data by preserving the cross-view clustering structure while minimizing the intra-view sample reconstruction errors, thereby enabling the identification of unknown intrusion data. …”
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  3. 643

    DOE Data Explorer: The Data. by Meredith Ayers

    Published 2008-11-01
    “…The Explorer sends the user to other site locations that may have the data needed. These locations do not have the same structure or format as the DOE Data Explorer and further searching by the user may be required once at the data collection site. …”
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    Data collection method for creating digital twin of planted forests by Sukhanov Yuriy V., Vasilev Aleksey S.

    Published 2025-01-01
    “…The existing digital models of forest stands provide data on the size, species, and categories of technical feasibility of forest plants. …”
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  8. 648

    Understanding street-exposure and abuse among street-involved children and youth in Kenya: structural intervention insights from routinely collected program data by Michael Goodman, Kelvin Munene, Nora Gardner, Stanley Gitari

    Published 2024-11-01
    “…Background Street-involved children and youth (SICY) face significant challenges, including structural and social exclusion, and multiple forms of abuse. …”
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  9. 649

    The open sharing operation mechanism of health data in the digital healthcare era: A study based on grounded theory and interpretative structural modeling method by Xinping Huang, Siyuan Zhu, Zheng Lv, Qianwen Zhou, Tianqi Kou

    Published 2025-06-01
    “…Results This study proposes a structured data governance framework, establishing a health data sharing system built upon four core components: top-level guidance, collaborative governance, technological empowerment, and rights protection. …”
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  10. 650

    New data on biology and captures of <i>Erimacrus isenbeckii</i> (Decapoda: Cheiragonidae) in the Shelikhov Bay (northern Okhotsk Sea) by D. V. Artemenkov, P. Yu. Ivanov, T. B. Morozov, D. O. Sologub

    Published 2023-10-01
    “…Molting, growth, sex and size structure of the crab are considered on the data collected in the Shelikhov Bay of the Okhotsk Sea in September-October, 2022. …”
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  11. 651

    Redefining comorbidity understanding in rheumatoid arthritis through novel approaches using real-world data by Diego Benavent, Chamaida Plasencia-Rodríguez

    Published 2024-02-01
    “…Meanwhile, natural language processing (NLP) and artificial intelligence (AI) image analysis can bridge the gap between structured and unstructured data, by extracting meaningful information from unstructured fields such as free text or imaging. …”
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    Yerevan Brickwork Residential Building Architecture and the Importance of Geographic Information Systems (GIS) in Preservation of Architectural Monuments and Structures by Evlin Ordoukhanian, Shahen Shahinyan

    Published 2025-08-01
    “…The recommended technology makes it possible to see the location of the object on the map, not only in two dimensions but also in a 3D model. The proposed data processing in the GIS environment, both graphic (vector) data processing and linking of textual data to them, is already carried out. …”
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    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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