A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network by Sara Lafia, Lizhou Fan, Andrea Thomer, Libby Hemphill

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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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Hierarchical data structures in rendering scenes containing a massive number of light sources by Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-Sobieraj

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…The approach is based on component‐level, depth–damage curves derived from experimental analysis. Structures with standard residential construction materials typical to the south‐eastern United States were built and incrementally flooded for short durations. …”
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Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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Loop Invariants Elimination for Definite Iterations over Unchangeable Data Structures in C Programs by I. V. Maryasov, V. A. Nepomniaschy

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A structured approach to developing an introductory statistics course for graduate students: Using data to teach about data by Lisa Eunyoung Lee, Sobiga Vyravanathan, Tony Panzarella, Caitlin Gillan, Nicole Harnett

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TS-WRSVM: twin structural weighted relaxed support vector machine by Fatemeh Sheykh Mohammadi, Ali Amiri

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Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas by Laura Loredana Micoli, Umair Shafqat Malik, Gabriele Guidi

“… This paper presents a methodology for the virtual reconstruction of no longer existing archaeological structures, focusing on cases where the remains are concealed within contemporary urban environments. …”
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Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach by Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari

Subjects: “…structured 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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Structural insights into DNA repair by RNase T--an exonuclease processing 3' end of structured DNA in repair pathways. by Yu-Yuan Hsiao, Woei-Horng Fang, Chia-Chia Lee, Yi-Ping Chen, Hanna S Yuan

“…Our data suggest that RNase T likely processes bulge and bubble DNA in the Endonuclease V-dependent DNA repair, whereas it processes Y-structured DNA in UV-induced and various other DNA repair pathways. …”
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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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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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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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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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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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