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unstructures » structures (Expand Search)
structured » structures (Expand Search), structural (Expand Search)
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structured » structures (Expand Search), structural (Expand Search)
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501
Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure
Published 2015-01-01“…The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. …”
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502
LONG-LIVED STRUCTURAL ENSEMBLES OF THE EAST EUROPEAN PLATFORM. Article 2. THE STRUCTURE OF THE TOP OF THE BASEMENT
Published 2018-06-01“…Using an «iris diaphragm» model and the reconstructions with reversing plate rotation makes possible to explain the main patterns of the long-lived vortex structure of the EEP.…”
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503
THE COMPARISON BETWEEN STRUCTURAL PARTICLE “地” IN MANDARIN AND STRUCTURAL PARTICLE “DENGAN” ATAU “SECARA” IN INDONESIAN
Published 2021-03-01“…In order to compare these two words, the writer uses contrastive analysis which is a study to identify the differences and similarities between Indonesian and Mandarin structural particle. The data collection technique was done by using purposive sampling technique. …”
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504
Investigation on Structural Performance of Integral Steel Wall Plate Structure in Cable–Pylon Anchorage Zone
Published 2025-08-01“…The results were compared with experimental data of a conventional type of anchorage zone. Then, finite element models of anchorages with steel anchor boxes were established based on the geometries of an as-built bridge, and the performance of the IWP structure was compared with conventional details. …”
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505
Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules
Published 2021-01-01“…Owing to its high efficiency, the structure–property models obtained by this approach can be employed to calculate the properties of chemical compounds for which experimental data are unavailable.…”
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506
Coal structure identification method based on three-terminal tuple chart in complex structure area
Published 2025-07-01“…When the logging curve data of compensated density, resistivity, and natural gamma are selected as the three-terminal points of the three-terminal tuple chart, different coal body structure types are well distinguished on the three-terminal tuple chart. …”
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507
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508
Preliminary data on terrestrial isopods from some railways in Dobruja, eastern Romania
Published 2021-06-01Get full text
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509
Scanning the Universe for Large-Scale Structures Using Gamma-Ray Bursts
Published 2025-04-01Subjects: “…cosmology: large-scale structure of the universe…”
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510
Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data
Published 2024-01-01Subjects: “…Magnetic data…”
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511
MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book “Die Maschinen-Industrie im Deutschen Reich”MADATA
Published 2025-02-01“…The unstructured extracted data was then structured and semantically enriched to enable data integration and reuse. …”
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512
D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification
Published 2025-05-01“…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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513
OECD Structural Analysis Databases: Sectoral Principles in the Study of Markets for Goods and Services
Published 2015-06-01Subjects: “…structural economic analysis…”
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514
DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA
Published 2013-10-01“…Descriptive statistics were used to summarize the data while Principal Component Analysis was used to test the research hypotheses. …”
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515
A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data
Published 2025-06-01“…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
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516
Macromolecular crystallography from an industrial perspective – the impact of synchrotron radiation on structure-based drug discovery
Published 2025-03-01Subjects: “…structure-based drug design…”
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517
Quantitative analysis of EXAFS data sets using deep reinforcement learning
Published 2025-05-01“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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518
GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA
Published 2017-12-01Subjects: “…parageneses of active structures…”
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519
Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications
Published 2024-01-01Subjects: “…data-driven…”
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520
Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection
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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