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Indicator-Type Grey Structure Incidence Analysis Method for Panel Data and Its Application in Identifying Technological Innovation Factors
Published 2025-06-01“…There exist many panel data decision problems in real life, and they take on obvious structural similarities and lag effects among decision objects or indicators, which are difficult to solve effectively based on traditional panel data analysis methods. …”
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1343
Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study
Published 2025-03-01“…Despite advancements in direct sensing technologies, accurately capturing complex wave–structure interactions remain a significant challenge in ship and ocean engineering. …”
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1344
A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse
Published 2025-10-01“…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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1345
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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1346
Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha
Published 2025-04-01Subjects: Get full text
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1347
Networked Microgrid Energy Management Considering Ownership and Control Structures: A Comparison
Published 2025-02-01“…To solve this issue, a complete comparison of networked microgrid energy management under centralized, distributed and decentralized structures are performed. As a novel contribution, the required minimum data exchange of networked microgrid energy management under three control structures are identified, respectively. …”
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1348
Experimental electronic structures of copper complexes with a biphenyldiimino dithioether – a model for blue copper proteins
Published 2025-03-01Subjects: “…electronic structures…”
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1349
Civil structural health monitoring and machine learning: a comprehensive review
Published 2024-07-01“…These methods could revolutionize the current situation by providing creative answers to complex problems that arise in civil structural applications.…”
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1350
Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review
Published 2024-04-01“…These methods could revolutionize the current situation by providing creative answers to complex problems that arise in civil structural applications. …”
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1351
Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM)
Published 2023-12-01“…The research objectives are as follows: (1) Develop a solid structural model assuming normality and homoscedasticity. (2) Obtain the property estimator of the flexible and robust SFAM structural model. (3) Obtaining hypothesis testing of each relationship built from the flexible and strong SFAM structural model. …”
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1352
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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1353
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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A structural biology compatible file format for atomic force microscopy
Published 2025-02-01“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification
Published 2025-04-01“…In recent years, deep learning techniques have emerged as powerful tools for analyzing the complex data generated by SHM systems. This study investigates the use of deep belief networks (DBNs) for classifying structural conditions before and after retrofitting, using both ambient and train-induced acceleration data. …”
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Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning
Published 2024-08-01“…Therefore, deep learning-based methods that use sensor data to conduct autonomous health monitoring have drawn much interest in structural health monitoring (SHM). …”
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Remote sensing‐based mapping of structural building damage in the Ahr valley
Published 2025-03-01“…Abstract Flood damage data are needed for various applications. Structural damage of buildings can reflect not only the economic damage but also the life‐threatening condition of a building, which provide crucial information for disaster response and recovery. …”
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An Experimental Technique for Structural Diagnostic Based on Laser Vibrometry and Neural Networks
Published 2000-01-01Get full text
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Structural assessment and seismic response of the historic Justinian stone arch bridge
Published 2025-07-01“…The research examines the structural configuration of the bridge and integrates its architectural background with data derived from comprehensive analyses. …”
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Discovering structural cis‐regulatory elements by modeling the behaviors of mRNAs
Published 2009-04-01“…We applied our structural cis‐regulatory element detector (StructRED) to microarray and mRNA sequence data from Saccharomyces cerevisiae, Drosophila melanogaster, and Homo sapiens. …”
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