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681
Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging
Published 2023-12-01“…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. …”
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Heterogeneous panel data model with sharp and smooth changes: Testing green growth hypothesis in G7 countries
Published 2025-06-01Subjects: “…Heterogeneous panel data analysis…”
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Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study®
Published 2022-12-01“…While one of the assets of Thijssen et al. (2020) was its large sample from the ABCD data, the authors used an early release that contained 38% of the full ABCD sample. …”
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686
Structural dynamic response synthesis: A transformer-based time-series GAN approach
Published 2025-06-01Subjects: Get full text
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Mathematical data processing according to digital image correlation method for polymer composites
Published 2020-10-01Get full text
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689
Peningkatan Kualitas Data dalam Konsolidasi Data Karyawan melalui Data Wrangling
Published 2025-02-01“…Discovery, Structuring, Cleaning, Enriching, Validating, Publishing, can help Corporate Human Resource Division to ensure that their data is of high quality and ready for analysis. …”
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690
Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies
Published 2025-01-01Subjects: “…structural health monitoring…”
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691
A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse
Published 2025-10-01“…These tweets were extracted from a larger initial corpus using the keyword “Artificial Intelligence” and subsequently filtered to ensure data quality, multilingual coverage, and public accessibility. …”
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692
Applying Structural Equation Modeling to Second-language (L2) Research: Key Concepts and Fundamental Reconsiderations
Published 2024-02-01Subjects: “…structural equation modeling…”
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693
Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study
Published 2024-12-01Subjects: Get full text
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Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches
Published 2025-04-01“…However, their reliability depends on high-quality training data derived from CFDs and FEA simulations, where BC modeling plays a crucial role. …”
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696
MATERIALS AND MODERN STRUCTURAL SOLUTIONS FOR BUILDING STRUCTURES
Published 2020-01-01“…Empirical data concerning the practical use of original products from fibrereinforced foam concrete in the construction of residential and public buildings in Rostov-on-Don is presented.Conclusion. …”
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697
Predicting the impact of public events and mobility in Smart Cities
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698
scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data
Published 2025-05-01“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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699
GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA
Published 2017-12-01Subjects: “…parageneses of active structures…”
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Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case
Published 2025-01-01“…Specifically, it investigates the relationships among CLIs to forecast Indonesia's Manufacturing Cycle (ManC) using Partial Least Squares-Structural Equation Modeling (PLS-SEM).Building on an extensive literature review, the study employs quarterly data spanning from Q1 2010 to Q2 2022, incorporating five constructs representing key economic sectors influencing the manufacturing cycle. …”
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