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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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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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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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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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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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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Capitalizing on the wealth of chemical data in the accretionary structures of aquatic taxa: Opportunities from across the tree of life by Zoë A. Doubleday, Louise Hosking, Jasper Willoughby, Minoli Dias, Natasha Leclerc, Shanie Brault Nikolajew, Melita Peharda, Arieli Tristão Rézio, Clive Trueman

“…Abstract Aquatic organisms are natural data loggers and record chemical variations within hardened accretionary structures like shells and teeth. …”
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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data by Abdullah Ezam Ahmady, Abdolhamid Ansari, Seyyed Hossein Mojtahedzadeh

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Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data by Guilherme Henrique Rossi Vieira, Ritermayer Monteiro Teixeira, Leila Cristina Meneghetti, Sandoval José Rodrigues Júnior

“…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

“…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Objectives: To reconstruct age-structured case counts of COVID-19 using sentinel reporting, which replaced universal reporting of COVID-19 from May 2023 in Japan. …”
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