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unstructures » structure (Expand Search), structured (Expand Search), unstructure (Expand Search), unstructural (Expand Search)
structures » structure (Expand Search), structural (Expand Search)
unstructures » structure (Expand Search), structured (Expand Search), unstructure (Expand Search), unstructural (Expand Search)
structures » structure (Expand Search), structural (Expand Search)
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201
THE CENOZOIC CRUSTAL STRESS STATE OF MONGOLIA ACCORDING TO GEOLOGICAL AND STRUCTURAL DATA (REVIEW)
Published 2020-12-01“…The studies commenced in the southern Baikal rift zone in the 1970s and were extended further southwards to cover mobile regions neighbouring the Siberian platform. Geological, structural and morphostructural data were collected and analysed to define the crustal stress types and spatial characteristics. …”
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202
Information hiding algorithm based on mapping and structure data of 3D model
Published 2019-05-01“…The existing 3D information hiding schemes are not robust enough against the joint attacks,as a result the secret information will be vulnerable and cannot be extracted correctly.In order to solve the above problem,an information hiding algorithm based on mapping and structure data of 3D models was proposed.First,several texture maps of the original 3D models in .stl format were picked from the standard model library,so the backup secret data after twice two-dimension discrete Daubechies transform can be embedded using dbl function just as the watermark.Secondly,the original 3D model in .stl format was operated by frame sampling in wavelet domain to obtain the coefficient in transform domain,thus the secret data was embedded into the corresponding transform coefficient.Finally,the .obj documents with the secret information were generated by multiplying the 2D texture map data and the 3D .stl data matrix based on orthogonal projection.Texture maps and coordinate space of 3D model were both used to embed the secret information repeatedly in order to enhance the robustness.The experiment analysis indicated that the imperceptibility,robustness and resistance against analysis are improved and information transmission safety in complex environment can be achieved based on the redundancy space of multi-type carriers.…”
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203
T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation
Published 2025-05-01“…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering
Published 2025-01-01“…This output provides a topologically structured representation of the image data, allowing spectrally similar pixels to be grouped together and the similarity of different clusters to be assessed. …”
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207
Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement
Published 2015-01-01“…The numerical simulation is performed to evaluate the proposed procedure, and the results show that the modal participation factor and mode shapes are estimated from the structural responses accurately. The procedure is also applied to the experimental data obtained from the shaking table test of a three-story shear building model.…”
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208
The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges
Published 2025-04-01Subjects: “…lattice structure…”
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209
Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data
Published 2024-11-01Subjects: “…Geologic structures…”
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210
Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
Published 2024-11-01“…In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. To harness the full potential of multiple‐source subsurface observations, two distinct neural networks extract implicit features from hard and soft data. …”
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211
The intraorganic architecture of musculoskeletal structures in maxillofacial area of children according to x-ray diagnostics data
Published 2020-04-01“…The combined use of the methods of teleradiography, computer and magnetic resonance imaging to study the structure of bone structures of MFA on the same object provides information that significantly reinforce the concept of morpho-functional unity of all structural components of the facial part of the head.…”
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212
A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures
Published 2023-10-01“…Based on this idea, a method for compressing event log data based on combinatorial generation using AND/OR tree structures is proposed. …”
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213
Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas
Published 2025-02-01“…In this study, a gravity data-fused method is proposed. The Moho depth model data are utilized to construct the gravity anomaly trend, and the mapping relation between the gravity field model data and the measured gravity data is established. …”
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Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records
Published 2025-07-01“…Abstract Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). …”
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Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status
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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing
Published 2024-09-01Subjects: “…Data Structures…”
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Encryption of sensor data using the Lorentz attractor in embedded systems
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Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data.
Published 2023-01-01“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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