Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by Ramon S. Y. R. C. Silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

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Sociological Analysis of Divorce in Kurdistan Province: Secondary Analysis of Available Data: from 2006 to 2016) by Yaghou Ahmadi, Mehdi Ghaderi

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Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by ramon saleno yure rubim costa silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

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A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing by Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease‐Related De... by Jeremy R. Williams, Theodore M. DeConne, Ryan Pewowaruk, Claudia Korcarz, Jordan Tanley, Cynthia Carlsson, Susan R. Heckbert, Mohamad Habes, Ilya Nasrallah, Samuel N. Lockhart, José A. Luchsinger, Jingzhong Ding, Kathleen M. Hayden, Timothy M. Hughes, Adam D. Gepner

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SPATIAL AND DIAMETRIC EVOLUTION OF A RARE SPECIES, PRUNUS AVIUM, IN DIFFERENT BIOTOPES IN NORTHWEST TUNISIA by Jdaidi NOURI, Selmi HOUCINE, Aloui FOUED, Chaabane ABBES

“…The results presented in this work show that P. avium individuals present a diametrical structure in the form of an “inverted J” translated by the dominance of the seedlings compared to the other classes. …”
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Does Urban Polycentric Structure Improve Carbon Emission Efficiency? A Spatial Panel Data Analysis of 279 Cities in China from 2012 to 2020 by Shihan Zhang, Yanxin Xue, Shuzhen Jin, Zhenghong Chen, Suiying Cheng, Wei Wang

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From Tutte to Floater and Gotsman: On the Resolution of Planar Straight-line Drawings and Morphs by Giuseppe Di Battista, Fabrizio Frati

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Integrated GNSS and InSAR Analysis for Monitoring the Shoulder Structures of the MOSE System in Venice, Italy by Massimo Fabris, Mario Floris

“…GNSS data were collected from 36 continuous GNSS (CGNSS) stations located at the corners of the emerged shoulder structures in the Treporti, San Nicolò, Malamocco, and Chioggia barriers. …”
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Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments by Changping Li, Xinteng Ma, Yang Liu

“…To ensure the safety of tower and mast structures, an effective measurement is to establish a simple structural health monitoring (SHM) system for each tower structure to obtain continuous deformation data of all structures. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

“…Urban green structures (UGS) play important roles in enhancing urban ecosystems by providing benefits such as mitigating the urban heat island effect, improving air quality, supporting biodiversity, and aiding in stormwater management. …”
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Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

“…Abstract With the rapidly increasing amount of materials data being generated in a variety of projects, efficient and accurate classification of atomistic structures is essential. …”
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A digital twin framework with MobileNetV2 for damage detection in slab structures by Duong Huong Nguyen, Huan Nguyen, Xiaohong Gao

“…To verify the proposed framework, we present a case study of slab structure using deflection measurement as input data. …”
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New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

“…This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. …”
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OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems by Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen

“…However, the security and privacy issues, such as data leakage, still challenge the wide deployment of fog computing infrastructure. …”
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A Conditional Simulation Method for Predicting Wind Pressure Fields of Large-Span Spatial Structures by Fangjin Sun, Tiantian Liu, Daming Zhang, Zhonghao Xu

“…Considering the complexity of wind pressure fields of large-span spatial structures, a simplified nonparametric method based on conditional simulation is proposed to predict the unknown pressures using the existing data. …”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…Rocking foundation is an unorthodox seismic design philosophy of structures that enhances the performance of structures by absorbing and dissipating seismic energy into soil. …”
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Comparison of two methods in determining hearing loss type and hearing loss degree: mobile application coded with artificial neural networks and conditional structures by Ahmet Yasin Disci, Ozlem Konukseven, Rukiye Tanisir Disci

“…In this study, it is aimed to distinguish the types and degrees of hearing loss with loops created by codes written using deep learning methods and conditional structures. Method A data set consisting of 1000 pure tone airway and pure tone bone conduction hearing tests performed in the audiology clinic was prepared for this study. …”
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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

“…To address this, we present MaxComp, an unsupervised method, for inferring single-cell A/B compartments based on 3D geometric considerations in single-cell chromosome structures-derived either from multiplexed FISH-omics imaging or 3D structure models derived from Hi-C data. …”
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Spatiotemporal Deformation Prediction Model for Retaining Structures Integrating ConvGRU and Cross-Attention Mechanism by Yanyong Gao, Zhaoyun Xiao, Zhiqun Gong, Shanjing Huang, Haojie Zhu

“…With the exponential growth of engineering monitoring data, data-driven neural networks have gained widespread application in predicting retaining structure deformation in foundation pit engineering. …”
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