ABOUT DATA MODELING SUBJECT DOMAINS PRACTICE-ORIENTED DIRECTION FOR UNIVERSAL SYSTEM OF STORAGE AND PROCESSING DATA by L. V. Rudikova, E. V. Zhavnerko

Subjects: “…data warehouse…”
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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing by Wenwei Su, Yan Shi

Subjects: “…Data Structures…”
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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM) by   Solimun, Adji Achmad Rinaldo Fernandes

“…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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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…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 by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…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 by Muhammad Muzammil Azad, Izaz Raouf, Muhammad Sohail, Heung Soo Kim

“…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 by Guilherme Samprogna Mohor, Tobias Sieg, Oliver Koch, Aaron Buhrmann, Holger Maiwald, Jochen Schwarz, Annegret H. Thieken

“…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 by Paolo Castellini, Gian Marco Revel

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Structural assessment and seismic response of the historic Justinian stone arch bridge by Zeki Özcan

“…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 by Barrett C Foat, Gary D Stormo

“…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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From dairy to plant products: Understanding their structural fingerprints with X-rays by Eleonora Olsmats, Adrian R. Rennie

“…The study provides a basis for understanding scattering data where structural fingerprint plots, using colour scales to compare intensity and intensity gradient, allow ready data interpretation that will be beneficial for analysis with artificial intelligence (AI) tools. …”
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A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models by Naci Murat, Mehmet Ali Cengiz

“…Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. …”
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Structural Design and Kinematics Analysis of an Adjustable Swing Foot Rehabilitation Robot by Chen Peng, Ligang Yao

“…According to the mode of ankle motion and the distribution of acupoint， the whole structure of foot rehabilitation robot is designed， and the motion principle of swing adjustable transmission mechanism is mainly introduced. …”
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Structural Analysis Ready Building Information Modelling: A Requirement Analysis by M. Akhoundi Khezrabad, D. Shojaei, M. Tomko

“…Structural analysis is utilised to evaluate the behaviour of structures under applied loads to ensure their safety and stability. …”
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Application of Structural Deformation Monitoring Based on Close-Range Photogrammetry Technology by Jun Hu, Ensheng Liu, Jiayu Yu

“…Based on using close-range photogrammetry technology to monitor structural deformation, combining with image recognition technology to collect and process image data, and using the conditions of direct linear transformation and collinear equation to calculate based on the extracted coordinates of the measuring point, finally, according to the coordinates of the measuring point and the deflection value of the bridge structure, the study is carried out. …”
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ROCK FRACTURES NEAR FAULTS: SPECIFIC FEATURES OF STRUCTURAL‐PARAGENETIC ANALYSIS by Yu. P. Burzunova

“…We collect and analyse the data on tectonic fractures identified from a number of indicators, the main of which are the geometric structure of the (systematic or chaotic) fracture system, and shear type of fractures. …”
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Genetic networks controlling structural outcome of glucosinolate activation across development. by Adam M Wentzell, Ian Boeye, Zhiyong Zhang, Daniel J Kliebenstein

“…A comparison of transcript accumulation data within 211 of these RILs showed an extensive overlap of gene expression QTLs for structural specifiers and their homologs with the identified glucosinolate activation loci. …”
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Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations by Xiao Han, Zhe Li, Haini Chen, Mengyao Yu, Yi Shi

“…The scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. …”
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