Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data by Florian Forsthuber, Christoph Kralovec, Martin Schagerl

Subjects: “…structural health monitoring…”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

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Structural characterization of the Zalm district, West Saudi Arabia, using aeromagnetic data: An approach for gold mineral exploration by Alzahrani Hassan, Ibrahim Elkhedr

“…For this purpose, the aeromagnetic data were subjected to enhancement filters to make the structural interpretation of the data easier. …”
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CORRELATION OF STRUCTURAL AND FUNCTIONAL FEATURES OF LEFT VENTRICLE WITH AMBULATORY BLOOD PRESSURE MONITORING DATA IN PATIENTS WITH ESSENTIAL HYPERTENSION by O. M. Khromtsova, M. V. Arkhipov

“…The relationships between LV structural disturbances and 24-hour BP profile allow to reveal patients with unfavorable course of HT.…”
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Structural Features of Nanocrystalline Magnetite Obtained by Different Syntheses According to X-Ray Diffraction and Electron Microscopy Data by A.N. Kalinkevich, O.V. Kalinkevich, A.S. Stanislavov, V.N. Kuznetsov, L.F. Sukhodub, K.V. Tyschenko, M.G. Demidenko, S.N. Danilchenko

“…Structural features of nanosized magnetite Fe3O4 synthesized in the presence of polymeric matrices (polysaccharide chitosan, etc.) were studied using transmission electron microscopy (TEM) and X-ray diffraction analysis. …”
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Design of Low-Power Structural FIR Filter Using Data-Driven Clock Gating and Multibit Flip-Flops by Lamjed Touil, Abdelaziz Hamdi, Ismail Gassoumi, Abdellatif Mtibaa

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Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data by Stefan Brunner, Mathias Siebenbürger, Klaus Kühnel, Klaus Bengler

“…Data is analyzed using several Structural Equation Models (SEM). …”
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Litho-structural study and depth estimation of Shaki area of Southwestern, Nigeria using high resolution aeromagnetic data by Omonike Adedokun, Olagoke Oladejo, K. O Suleiman, Kehinde Alao, E. O. Adeniyi, H. Otobrise, Oluwaseun Adedokun, Lukman Sunmonu

“…Hence, there is a need to investigate the lithological structural trends in some parts of Southwestern Nigeria to determine the tectonic stability of the study area. …”
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A Data-Driven Analysis of Software Testing Automation Challenges Using Structural Equation Modeling (SEM) Approach by Muhammad Faisal Abrar, Muhammad Faran Majeed, Muhammad Saqib, Ali Alferaidi, Razauddin

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NEW INSIGHT INTO THE STRUCTURAL MODEL IN SOUTHERN SUMATRA INDONESIA USING GRAVITY AND MAGNETIC DATA: IMPLICATIONS FOR GEOTHERMAL RESOURCES by Irfan Prasetyo, Wawan Gunawan Abdul Kadir, Dadi Abdurrahman, Darharta Dahrin, Khalil Ibrahim, Andri Kurniawan

“…The integration of gravity and magnetic data reveals new relationships between tectonic structures in the GSF zone and previously unexplored geothermal potential.…”
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Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

“…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria by Stephen Olubusola Ilugbo, Isaac Aigbedion, Kesyton Oyamenda Ozegin

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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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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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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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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