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341
SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA
Published 2018-07-01“…Seismogenic faults and large seismogravitational structures were mapped in the area of the Srednekedrovaya paleoseismodislocation, one of the most remarkable seismotectonic structures in the Baikal region. …”
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Experimental data of structural tests on non-continuously stiffened steel panels subjected to uniform compressionrearchdata UIBK.
Published 2025-06-01“…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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344
Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis
Published 2025-03-01“…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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345
No association between age-related hearing loss and brain age derived from structural neuroimaging data
Published 2021-06-01“…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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346
Qualitative and quantitative interpretations of high-resolution aeromagnetic data of Saki-East area, for basement and structural framework
Published 2024-11-01“…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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347
State-space modelling for infectious disease surveillance data: Stochastic simulation techniques and structural change detection
Published 2025-12-01Subjects: Get full text
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STRUCTURAL STYLE OF WABI FIELD, OFFSHORE NIGER DELTA NIGERIA, USING SEISMIC AND WELL-LOG DATA
Published 2023-11-01Subjects: Get full text
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An RMSprop-Incorporated Latent Factorization of Tensor Model for Random Missing Data Imputation in Structural Health Monitoring
Published 2025-06-01Subjects: Get full text
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353
Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach
Published 2024-01-01“…The integration of these three transformations on the magnetic data is sufficient to interpret the position, direction, and depth of subsurface structures in the research area. …”
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354
Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data
Published 2025-06-01Subjects: “…aeromagnetic data…”
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355
Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020
Published 2025-04-01“…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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356
Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data
Published 2025-07-01“…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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357
Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography
Published 2024-04-01“…This article shows the advantages of the integrated use of modern methods of core research, including X-ray microtomography and electron microscopy, as well as data from hydrodynamic and field studies of wells. …”
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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm
Published 2025-04-01Subjects: Get full text
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data
Published 2025-01-01“…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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