Enhancing the assessment of in situ beam–column strength through probing and machine learning by Jin Terng Ma, Luke Lapira, M. Ahmer Wadee

“…Therefore, when assessing the structural health of an in situ beam–column, both of these load effects must be considered. …”
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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

Subjects: “…Galaxy structure…”
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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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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…The simulation results show that the entire routine, encompassing RPM modeling, MIZ characterization, structural fusion, and SAR raw data generation, yields promising results in the realm of sea-ice remote sensing. …”
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Examining Dual-Moderation of Structure Racism, Economic Fragility, High Tech Startup’s Team Diversity and Performance by Saeed Mousa

“… This study has been conducted to examine the dual moderation of structural racism and economic fragility between team diversity and startup team performance. …”
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Fast report: Coseismic source model of the January 2025 Mw 6.1 Dapu earthquake from geodetic data and its implications for seismogenic structures in Southwestern Taiwan by Yogendra Sharma, Kuo-En Ching, Wu-Lung Chang, He-Chin Chen, Shih-Han Hsiao, Wu-Yu Liao, En-Jui Lee, Ray Y. Chuang, Chien-Liang Chen

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The nexus between structural transformation and poverty reduction in Maghreb region. A sectoral value-added analysis by FREEMAN MUNISI MATEKO

“…ABSTRACT The study examined the relationship between structural transformation and poverty reduction in the Maghreb region. …”
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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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Aboveground Biomass in West African Semi‐Arid Ecosystems: Structural Diversity, Taxonomic Contributions and Environmental Drivers by Kangbéni Dimobe, Shem Kuyah, Korotimi Ouédraogo, Ebagnerin Jérôme Tondoh, Adjima Thiombiano

“…ABSTRACT The role of plant diversity and biomass in ecosystem functioning and management is well recognized. However, the structural drivers of aboveground biomass (AGB) and their influence across savanna ecosystems remain understudied, particularly in semi‐arid regions. …”
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Mechanism that links perceived racism and discrimination and youth cannabis use, a structural equation modeling approach by Hongying Daisy Dai, Brian Young, Cheryl Beseler

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Research on the network structure evolution characteristics of outdoor sports tourism flow in the Yangtze River Economic belt based on online travel notes by Nianle Xiao, Binbin Zhao

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The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…In civil and bridge engineering, they can facilitate the identification of specific patterns through the analysis of data acquired from structural health monitoring (SHM) systems. …”
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Artificial Intelligence-Based Approach for Damage Localization in Ultrasonic Guided Wave-Based Structural Health Monitoring by Anastasiia Volovikova, Steffen Freitag, Oliver Schackmann, Vittorio Memmolo, Ahmed Bayoumi, Inka Mueller, Jochen Moll

“…Existing localization approaches are limited through them being applied on defined simple structures and requiring a large amount of data, which is usually unavailable in practical applications. …”
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Damage detection in structural health monitoring using hybrid convolution neural network and recurrent neural network by Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Thanh Bui-Tien, Hung Tran-Viet

“…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
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Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network by Thanh Bui-Tien, Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Hung Tran-Viet

“…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
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Factors Influencing the Human Development Index in Indonesia Using Structural Equation Modeling-Partial Least Square by Rifki Saefullah, Besse Arnawisuda Ningsi

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Structural modeling of the effect of school culture on psychological well-being with the mediating role of narcissism and achievement emotions by maryam fallahi, samaneh salimi

“…The aim of the present study was to investigate the structural modeling of the effect of school culture on psychological well-being with the mediating role of narcissism and students' progress emotions. …”
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Gender-specific perception of job stressors and resources: a structural equation model-based secondary analysis by Angelina Heub, Andrea Schaller, Martin Lange

“…The national representative cross-sectional sample included 4,118 employees. The data were analyzed using structural equation modeling.ResultsCorrelations between quantitative demands, working time, co-worker support, quality of leadership, job control, and subjective perceived stress were first confirmed for a total sample of employees. …”
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Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking by Yauhen Statsenko, Yauhen Statsenko, Yauhen Statsenko, Darya Smetanina, Roman Voitetskii, Gillian Lylian Simiyu, Mikalai Pazniak, Elena Likhorad, Aleh Pazniak, Pavel Beliakouski, Dmitri Abelski, Fatima Ismail, Klaus Neidl-Van Gorkom, Milos Ljubisavljevic, Milos Ljubisavljevic

“…BackgroundStructural outcomes of corneal collagen cross-linking (CXL) have not been thoroughly investigated. …”
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Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing by Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui

“…Specifically, borrowing the iterative structure of the AM algorithm, also referred to as structural knowledge, the proposed SKDML adopts long short-term memory (LSTM) network-based meta-learning to learn an adaptive optimizer for updating variables in each sub-problem, instead of the handcrafted counterpart in the AM algorithm. …”
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