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unstructures » structures (Expand Search), structure (Expand Search), structured (Expand Search)
structural » structure (Expand Search)
unstructures » structures (Expand Search), structure (Expand Search), structured (Expand Search)
structural » structure (Expand Search)
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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies
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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502
The relationship between goodwill and capital structure and the moderating effect of financial market development
Published 2024-03-01Subjects: “…Capital structure…”
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503
Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning
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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Structure of the Primorye Current (Japan Sea) on satellite ima- ges and standard sections
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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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions
Published 2025-01-01“…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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508
Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.
Published 2024-01-01“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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509
Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data
Published 2025-06-01“…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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510
Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study
Published 2025-01-01“…Alongside experimental evidence, we employ a robust calculation method using functional data analysis to draw clear relationships among the parameters under study, further emphasizing the scientific rigor and significance of our findings.…”
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511
Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data
Published 2025-07-01Subjects: Get full text
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A multi-stage algorithm based on data structure to deal challenges facing electric-supply restoration in smart grids
Published 2025-06-01Subjects: Get full text
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data.
Published 2025-08-01“…This dataset serves as a reference for analyzing crashworthiness in re-entrant structured crash box and can support further investigations on the crashworthiness of lightweight structural components.…”
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study
Published 2024-11-01“…Methods: Using COVID-19 sentinel data stratified by discrete age groups in selected prefectures and referring to universal case count data up to May 8, 2023, we fitted a statistical model to handle weekly growth rates as a function of age and time so as to convert sentinel data to case counts after cessation of universal reporting. …”
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Crosscorrelation of Earthquake Data Using Stationary Phase Evaluation: Insight into Reflection Structures of Oceanic Crust Surface in the Nankai Trough
Published 2012-01-01“…We use the numerical-modeling data and field data with 6 localized earthquakes and show that choosing the crosscorrelation traces by stationary phase evaluation improves the quality of the reflections of the oceanic crust surface.…”
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A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland
Published 2025-01-01“…We present in this paper the pitfalls of the most established approach in Network Data Envelopment Analysis for units with a~parallel internal structure. …”
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System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records
Published 2023-01-01“…The use of available systems for obtaining structured data from primary medical information is based on the use of various technologies, including digital transformation of primary data for the formation of electronic health records. …”
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NOSOLOGICAL STRUCTURE OF ACUTE CORONARY EVENTS AT ADMISSION AND AT DISCHARGE, PATIENT COMPLIANCE AND NEAREST FORECAST (DATA OF THE RACSMI-UZ REGISTER)
Published 2018-12-01“…Introduction. Basing on the data of the “RACSMI-UZ” register, the article provides comparative analysis of the structure and transformation of diagnoses during acute coronary conditions in the dynamics (at admission and discharge), assesses patients' adherence to drug therapy depending on gender and also describes analysis of its effect on the short-term prognosis.Material and methods. …”
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Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat and Sentinel data
Published 2024-01-01“…Canopy height models were developed using random forest regressions trained on GEDI canopy height discrete point data. Predictor variables included spectral bands and vegetation indices derived from synthetic aperture radar Sentinel‒1 data, and multispectral Landsat and Sentinel‒2 data. …”
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