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481
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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482
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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483
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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484
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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485
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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486
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487
A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island
Published 2025-06-01“…By combining these state-of-the-art technologies, this study demonstrates the algorithm’s effectiveness at recognizing and segmenting the ancient structures within the archaeological site of Delos, Greece. …”
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488
Machine learning-based classification of geological structures from magnetic anomaly data: Case study of Northern Nigeria basement complex
Published 2025-06-01“…This study applies a machine learning framework to geomagnetic data to enhance the identification of subsurface mineralized structures. …”
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489
Fatigue strength of welded aluminum structures – A re-evaluation of fatigue data of welded aluminum joints with nominal stress approach
Published 2025-06-01“…This work analyzes the applicability of the nominal stress approach to welded aluminum joints, with respect to the second generation of Eurocode 9: Design of Aluminium Structures and recommendations of International Institute of Welding, utilizing experimental fatigue test data extracted from existing relevant literature. …”
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490
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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491
Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing
Published 2024-09-01Subjects: “…Data Structures…”
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492
Theoretical study of the structures of Schiff base compounds and thermodynamic study of the tautomerism reactions by ab initio calculations
Published 2017-12-01“…The optimized molecular geometry and atomic charges were calculated using MP2 method with 6-31G(d) basis set and compared with the reported X-ray data. Nickel and copper complexes have a planar structure while the zinc structure shows a distorted square-planar N2O2 coordination geometry. …”
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493
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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494
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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495
Seismic comprehensive characterization technology for internal structures of deep single channels with few wells
Published 2025-03-01“…The target layer has a large burial depth, few drilled wells, and poor-quality seismic data. It is difficult to identify the channel sand bodies based on seismic data, and the development accuracy requirements are not supported. …”
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496
Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages
Published 2024-01-01Get full text
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497
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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498
Yerevan Brickwork Residential Building Architecture and the Importance of Geographic Information Systems (GIS) in Preservation of Architectural Monuments and Structures
Published 2025-08-01“…This research aims to gather and maintain accurate information about brick structures, which significantly impacts their preservation. …”
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499
Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications
Published 2024-01-01Subjects: “…data-driven…”
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500
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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