Infrastructure Lifecycle Corrosion Management Using AI Analytics and Digital Twins by Bilal Ayyub, Karl Stambaugh

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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

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A method for reconstructing the dynamic displacement of floating structures based on acceleration measurements and comparison with data-reconstruction techniques by Shujian Gao, Xi Chen, Zewen Pan, Zhe Tian, Fushun Liu

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Modal Identification and Finite Element Model Updating of Flexible Photovoltaic Support Structures Using Multi-Sensor Data by Mingfeng Huang, Chen Yang, Kang Cai, Xianzhe Li

“…In this study, field modal testing of a flexible PV support structure was conducted, and high-order modal properties were identified from multi-sensor data. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Here, we present a generalizable formulation for autonomous identification of specific biological structures that is applicable for many problems. The process flow architecture we present here utilizes standard image processing techniques and the multi-tiered application of classification models such as support vector machines (SVM). …”
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An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

Subjects: “…structural health monitoring…”
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Data structures for compound promiscuity analysis: promiscuity cliffs, pathways and promiscuity hubs formed by inhibitors of the human kinome by Filip Miljković, Jürgen Bajorath

“…Limitations & next steps: PC and PCP data structures capture structure–promiscuity relationships. …”
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Managerial and natural disposability in two-stage network structure: a DEA-based approach by Mahnaz Maghbouli, Azam Pourhabib Yekta

Subjects: “…data envelopment analysis (dea)…”
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Network controllability mediates the relationship between rigid structure and flexible dynamics by Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric H. Xia, Ruben C. Gur, Raquel E. Gur, David R. Roalf, Theodore D. Satterthwaite, Dani S. Bassett

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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…These methods could revolutionize the current situation by providing creative answers to complex problems that arise in civil structural applications.…”
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Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…These methods could revolutionize the current situation by providing creative answers to complex problems that arise in civil structural applications. …”
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Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM) by   Solimun, Adji Achmad Rinaldo Fernandes

“…The research objectives are as follows: (1) Develop a solid structural model assuming normality and homoscedasticity. (2) Obtain the property estimator of the flexible and robust SFAM structural model. (3) Obtaining hypothesis testing of each relationship built from the flexible and strong SFAM structural model. …”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…In recent years, deep learning techniques have emerged as powerful tools for analyzing the complex data generated by SHM systems. This study investigates the use of deep belief networks (DBNs) for classifying structural conditions before and after retrofitting, using both ambient and train-induced acceleration data. …”
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Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning by Muhammad Muzammil Azad, Izaz Raouf, Muhammad Sohail, Heung Soo Kim

“…Therefore, deep learning-based methods that use sensor data to conduct autonomous health monitoring have drawn much interest in structural health monitoring (SHM). …”
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Remote sensing‐based mapping of structural building damage in the Ahr valley by Guilherme Samprogna Mohor, Tobias Sieg, Oliver Koch, Aaron Buhrmann, Holger Maiwald, Jochen Schwarz, Annegret H. Thieken

“…Abstract Flood damage data are needed for various applications. Structural damage of buildings can reflect not only the economic damage but also the life‐threatening condition of a building, which provide crucial information for disaster response and recovery. …”
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An Experimental Technique for Structural Diagnostic Based on Laser Vibrometry and Neural Networks by Paolo Castellini, Gian Marco Revel

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Structural assessment and seismic response of the historic Justinian stone arch bridge by Zeki Özcan

“…The research examines the structural configuration of the bridge and integrates its architectural background with data derived from comprehensive analyses. …”
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