Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data by Yifeng Zhang, Qianqian Ren, Yourong Chen, Meng Han

“…Abstract Graph representation learning has emerged as a powerful approach for modeling structured data across diverse domains, including social networks, biochemical interactions, and financial transaction systems. …”
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The Use of Mathematical Modeling in Shallow Seismic Data Processing for Detalization of the Heavy Oil Reservoir Structure by R.N. Sitdikov, A.V. Stepanov

“…The process of building a 3D model of the structure of bitumen deposits using the ArcGIS software package and the modeling itself, which is performed using the Tesseral software package, are considered. …”
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Identifying the diagnostic gap of tardive dyskinesia: an analysis of semi-structured electronic health record data by Kira Griffiths, Yida Won, Zachery Lee, Lu Wang, Christoph U. Correll, Rashmi Patel

“…Results Altogether, 1,301 (4.0%) patients had either description of abnormal movements associated with TD (n=691) or documented TD (n=610) within semi-structured EHR data. Of those patients, only 64 (4.9%) had an ICD-TD diagnosis in structured EHR data. …”
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Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis by Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu

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Distinction Geological Formations at Qand Structure And Bashiqa Anticline Localities Using Remote Sensing Data. by Mayada Mahmood Husain

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Exploration of the Shallow Geological Structure of Liangzihu Fault Depression Using Shallow Seismic Reflection Data by Kun CHANG, Miao CHENG

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Altered topological structure of the brain white matter in maltreated children through topological data analysis by Moo K. Chung, Tahmineh Azizi, Jamie L. Hanson, Andrew L. Alexander, Seth D. Pollak, Richard J. Davidson

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Multiple-Valued Logic, Vocabulary Structure, and Linked List for Data Verification in Dialog Communications of Agents by Alexey Bykovsky

“…Multiple-valued logic is used here as the convenient method to provide autonomous navigation in a multi-parametric structure of data and verification variables.…”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…CORD is a model that allows for dual input types: structured data from air quality data collected with meteorological cameras and images (unstructured data) from monitoring stations. …”
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The Polymetallic Deposits of the Western European Plate and Structure of the Earth's Crust According to GOCE Gravity Data by Galyamov A. L., Volkov A. V., Lobanov K. V.

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The practice of capital structure choice in the Czech Republic: A comparative study based on the global data by Lenka Strýčková

“…The aim of this contribution is to reveal the general practice in corporate financing in the Czech Republic, capital structure choice in particular, by means of comparison with the global data. …”
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The Structure, Populations, and Kinematics of the Milky Way Central and Inner Bulge with OGLE, APOGEE, and Gaia Data by Xiao Han, Hai-Feng Wang, Giovanni Carraro, Martín López-Corredoira, Yuan-Sen Ting, Yang-Ping Luo, Guan-Yu Wang, (MWLUDPSG Collaboration)

“…We present an analysis of the structure, kinematics, and chemo-dynamical properties of the Milky Way bulge using RR Lyrae stars from Optical Gravitational Lensing Experiment (OGLE), and giant stars from APOGEE and Gaia that have distances placing them in the inner Galaxy. …”
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NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure by Zihong Liu, Da He, Qian Shi, Xiao Cheng

“…We explore its usability in monitoring vegetation structure variation in Vorkuta region (transition zone of tundra and taiga in the Arctic Circle) based on MODIS data. …”
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Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor by Elizabeth P. Chou, Bo-Cheng Hsieh

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Thermogravimetric data suggest synergy between different organic fractions and clay in soil structure formation by Ivan Šimkovic, Andrej Hrabovský, Adela Joanna Hamerníková, Silvia Ihnačáková, Pavel Dlapa

“…Although it has been recognized that soil structure formation affects soil organic carbon (SOC) sequestration, experimental data elucidating the relation between mechanical properties of soil structure and soil organic matter (SOM) stability are lacking. …”
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Semi-automatic staging area for high-quality structured data extraction from scientific literature by Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii

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Composition and structure of upper Jurassic black shales from the Moscow region considering new data by S. Yu. Malenkina

“…The accumulation of the shales is discovered to depend on a paleorelief and the depth of the pool, and they are confined to the pre-Jurassic structural hollows, while in the shallow elevated areas there are low-thickness condensed sections with the complete absence of the shales and the presence of almost solely phosphate interlayers.…”
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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. …”
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The geological structures of the Pyrenees and their peripheral basins examined through EMAG2v2 magnetic data by Á. Gamisel-Muzás, Á. Gamisel-Muzás, R. Soto, C. Ayala, T. Mochales, F. M. Rubio, P. Clariana, C. Rey-Moral, J. Martín-León

“…<p>The major goal of this work is to provide insight into the structural and geological anatomy of the Pyrenees based on the magnetic anomalies and inferred lineaments from Earth Magnetic Anomaly Grid 2 arcmin resolution (EMAG2v2) magnetic data. …”
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Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images by Xing Du, Yongfu Sun, Yupeng Song, Lifeng Dong, Changfei Tao, Dong Wang

Subjects: “…underwater engineering structures…”
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