A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

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Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…SOM Models 1 and 2, which combined geometric, spectral, and amplitude-based attributes, were shown to delineate potential storage reservoirs, gas hydrates, salt structures, associated radial faults, and areas with poor data quality due to the presence of the salt structures more than SOM Models 3 and 4. …”
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Impact of station number and duration time per station on the reliability of Objective Structured Clinical Examination (OSCE) scores: a systematic review and meta-analysis by Qiyun Peng, Jiani Luo, Chunyan Wang, Lei Chen, Shenglan Tan

“…Abstract Background The Objective Structured Clinical Examination (OSCE) is a systematic and structured assessment tool that evaluates candidates’ professional medical skills in a simulated environment through a series of time-limited stations. …”
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GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

“…<p>The increasing availability of large geological datasets and modern methods of data analysis facilitate a data science approach to geology in which inferences are drawn from geological data using automated methods based on statistics and machine learning. …”
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Structural Activity Relationship Analysis of New Diphenyl PFI-3 Analogues Targeting for the Treatment of Glioblastoma by Dong-Jin Hwang, Chuanhe Yang, Yinan Wang, Hannah Kelso, Satyanarayana Pochampally, Lawrence M. Pfeffer, Duane D. Miller

“…<b data-eusoft-scrollable-element="1">Results</b>: Following on the enhanced activity of compounds <b data-eusoft-scrollable-element="1">2a</b> and <b data-eusoft-scrollable-element="1">2b</b>, new diphenyl PFI-3 analogs with specific structural adjustments were made to better understand the structural requirements to optimize function. …”
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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

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Gold Punning: studying multistable meaning structures using a systematically collected set of lexical blends by Daniel Kjellander

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P- and S-Wave Velocity Structures and the Influence of Volcanic Activities in the East Java Area From Seismic Tomography by Syawaldin Ridha, Sukir Maryanto, Agustya A. Martha, Vanisa Syahra, Muhajir Anshori, Pepen Supendi, Sri Widiyantoro, Sri D. Wuryani, Rendi P. Hab Sari

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Effects of Government Maize Policies on Structural Transformation for Sustainable Maize Farming in Kitui County, Kenya by Patrick Mboya Kutu, Daniel M. Kitonga

“… The purpose of this study was to determine the effects of government maize policies on structural transformation for sustainable maize farming in Kitui County, Kenya. …”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…Ground-Penetrating Radar (GPR) has demonstrated significant advantages in the non-destructive detection of road structural defects due to its speed, safety, and efficiency. …”
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Design and Verification of a Versatile and Lightweight Radar Platform for High-Resolution Imaging of Glacial Subsurface Structures by Lena Krabbe, Niklas Haberberger, Michael Stelzig, Felix Pfluger, Matthias Braun, Martin Vossiek

“…Ground penetrating radar (GPR) is an effective tool in cryosphere and climate research, as it can provide detailed, non-invasive insights into ice thickness, internal structures, and subglacial conditions. This technology uncovers critical data on glacier dynamics and climate change impacts, enhancing our understanding of past, present, and future environmental shifts. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Thus, there is a need to visually inspect every output of data processing pipelines in a scalable manner. We design a QC pipeline that allows for low time cost and effort across a team setting for a large database of diffusion-weighted and structural magnetic resonance images. …”
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A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing by Alireza Entezami, Bahareh Behkamal, Carlo De Michele, Stefano Mariani

“…Small data analytics, at the opposite extreme of big data analytics, represent a critical limitation in structural health monitoring based on spaceborne remote sensing technology. …”
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Stress Performance Evaluation of Shield Machine Cutter Head during Cutting Piles under Masonry Structures by Fei Peng, Shiju Ma, Mingyu Li, Kui Fu

“…In the construction of the metro, the development and operation of large-scale underground space in the city cause the construction of metro tunnels near the original underground structures, and the complex environment for passing structures at close range has increased significantly. …”
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An integrated system for building structural health monitoring and early warning based on an Internet of things approach by Jun Wang, Yongfeng Fu, Xiaokang Yang

“…The intelligent security monitoring of buildings and their surroundings has become increasingly crucial as the number of high-rise buildings increases. Building structural health monitoring and early warning technology are key components of building safety, the implementation of which remains challenging, and the Internet of things approach provides a new technical measure for addressing this challenge. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…In this work the triadic structure of a promising integrated navigation system based on inertial and satellite technologies is proposed. …”
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TRANSFORMATION OF COASTAL FAUNAL COMPLEX (TETRAPODA) OF THE LYSY LIMAN LAKE IN THE OPERATION OF HYDRAULIC STRUCTURES IN THE MIDDLE COURSE by R. Gubanov, A. Likhovid

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Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network by I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota

“…Develop a neural network to build 3D models of kidney neoplasms and adjacent structures.   Materials and methods. DICOM data (Digital Imaging and Communications in Medicine standard) from 41 patients with kidney neoplasms were used. …”
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Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots by Nikola Besic, Sylvie Durrieu, Anouk Schleich, Cedric Vega

“…Beginning with the prediction of profile structural classes and shapes on NFI plots, the proposed method ultimately projects actual measurements onto the NFI plot sites through profile pairing within the predicted structural classes. …”
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A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection by Shao-Fei Jiang, Chun Fu, Chun-Ming Zhang, Zhao-Qi Wu

“…This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states. …”
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