Applying a K-means model to TSD data to find categories for the structural assessment of flexible pavements by Mahdi Rahimi Nahoujy

“…Since 2018, the German Federal Highway Research Institute (BASt) has been using a traffic speed deflectometer (TSD) for measurements on network level to assess the structural condition of asphalt pavements. TSD collects a variety of data, such as deflections, temperature and slope values at each measuring point. …”
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Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease by Farideh Momeni, Daryoush Shahbazi-Gahrouei, Tahereh Mahmoudi, Alireza Mehdizadeh

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A dynamic early-warning method for bridge structural safety based on data reconstruction and depth prediction by Yanqing Men, Hu Li, Fengzhou Liu, Yongliang Huang, Mingxin Gao, Xiaohui Wang, Hao Xie, Jianxin Cao

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Detection and functional assessment of structural variants using whole-genome re-sequencing data in Nellore cattle by Natalia A. Marín-Garzón, Lucio F. M. Mota, Giovana Vargas, Leonardo M. Arikawa, Larissa F. S. Fonseca, Gerardo A. Fernandes Júnior, Roberto Carvalheiro, Lucia G. Albuquerque

“…Thus, this study aimed to detect structural variants using whole genome re-sequencing (WGS) data and identify positional candidate genes and quantitative trait loci (QTL) overlapping the most frequent SV regions in Nellore cattle. …”
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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties by Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva

Subjects: “…structural damage…”
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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

“…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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Experimental data of structural tests on non-continuously stiffened steel panels subjected to uniform compressionrearchdata UIBK. by Immo Lukas, Ralph Timmers, Melanie Ropele, Robert Lang

“…This data article presents experimental datasets from structural tests of 20 open-section and 30 closed-section non-continuously stiffened steel panels subjected to uniform compression. …”
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No association between age-related hearing loss and brain age derived from structural neuroimaging data by Stephanie Rosemann, Christiane M. Thiel

“…We used structural neuroimaging data from a large sample of elderly subjects (n = 169) with mild to moderate untreated age-related hearing loss or normal hearing. …”
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Qualitative and quantitative interpretations of high-resolution aeromagnetic data of Saki-East area, for basement and structural framework by E. O. Adeniyi, L. A. Sunmonu, Olagoke Peter Oladejo, Charles Olubunmi ogunkoya, O. M. Adedokun, K. N. Alao

“…The aeromagnetic data of the study area consisting of Igboho data sheet 200 and Lechilaku sheet 221 were processed using Oasis Montaj software and interpreted for mapping basement and structural stability in the area. …”
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State-space modelling for infectious disease surveillance data: Stochastic simulation techniques and structural change detection by Christopher D. Prashad

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STRUCTURAL STYLE OF WABI FIELD, OFFSHORE NIGER DELTA NIGERIA, USING SEISMIC AND WELL-LOG DATA by Amakiri, S., Uko, E. D, Tamunobereton-ari

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Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results by Antonio Cerasa, Isabella Castiglioni, Christian Salvatore, Angela Funaro, Iolanda Martino, Stefania Alfano, Giulia Donzuso, Paolo Perrotta, Maria Cecilia Gioia, Maria Carla Gilardi, Aldo Quattrone

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An RMSprop-Incorporated Latent Factorization of Tensor Model for Random Missing Data Imputation in Structural Health Monitoring by Jingjing Yang

Subjects: “…structural health monitoring…”
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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

“…This study provides a systematic review of UAV-based structural monitoring and assessment methodologies, categorizing existing techniques based on their data type and applications. …”
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Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling by Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover

“…Behavioral scientists often use Multigroup Structural Equation Modeling (MG-SEM) to compare groups in terms of their latent variables (LVs) relations — also called 'structural relations’. …”
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The Structure of Phonological Networks and Social Identity of Heritage Languages by Mohd Hamid Raza

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Model and Structure of IoT Network for Alzheimer’s Disease Diagnostics by U. A. Vishniakou, Yu Chuyue

“…The article presents the structure and model of an Internet of Things network that can be used for remote rapid detection of Alzheimer’s disease. …”
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Investigation of electronic structure for β-Zr in the(s-d) subshell by Abdulhadi Mirdan Ghaleb

“…The cohesive energy of β-Zr is computed by using  theoretical Compton profile data and compared with available data. The band structure and density of state of  (β-Zr and -Zr) phases are determined from density functional theory (DFT) with use Quantum wise Atomistix Tool Kit (ATK),Virtual Nano Lab  calculations within the framework of the local density approximation (LDA). …”
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Organization of management and structure in local networks internet of things by U. A. Vishniakou, A. H. Al-Masri, S. K. Al-Haji

“…MASMFA structure has many agents such as quality milk sensors, agents of communications, data base, analysis of the information received from sensor agents, decision-making. …”
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