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581
Dosiomic predictors of biochemical failure in patients with localized prostate cancer treated with Iodine-125 low-dose-rate brachytherapy
Published 2025-04-01“…Analysis B generated logistic regression models using derivation cohort data. The accuracy of BCF prediction was assessed using the validation cohort, with performance measured using the area under the receiver operating characteristic curve (AUC). …”
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582
Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method
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583
Finding Massive Double-exponential Disk Galaxies with Extended Low Surface Brightness Stellar Disk: An IllustrisTNG Exploration
Published 2025-01-01“…We use the high-resolution IllustrisTNG50 data and perform Sérsic plus exponential profile modeling on the idealized, synthetic Sloan Digital Sky Survey g- and r -band images of the massive disk galaxies using GALFIT. …”
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584
Soil Erosion and Spatio-temporal Variations in Huangshui River Basin Based on MODIS and Landsat Data
Published 2022-06-01“…[Methods] Based on MODIS and Landsat images, precipitation, population density, and the economy in 2000 and 2018, we used low altitude UAV remote sensing, the RUSLE model, and geostatistics to calculate, validate, and analyze the spatio-temporal variability of a soil erosion model in the Huangshui River basin. …”
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585
Research and application of unified cross-system data services for coal mines based on industrial internet platforms
Published 2025-03-01“…These features together enabled standardized access, secure transfer, and precise interaction of multi-source heterogeneous data. Test results showed that, compared to the traditional distributed interface model, the proposed system optimized average data response time from 270 ms to 148 ms and improved data processing accuracy to 99.57%. …”
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586
Practical DU-CU Placement in an Enhanced Mobile BroadBand Request During 5G Traffic
Published 2025-01-01“…The model is evaluated on a network topology in which radio units (RUs), candidate sites (CSs), and data centers (DCs) are distributed across a territory. …”
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587
Differences in Biomass Estimation in a Feldspathic Sandstone Area by Landsat 8 and Sentinel-2 Data
Published 2022-08-01“…The mean relative errors for the AGB estimation models based on Landsat 8 and Sentinel-2 data were 13.41% and 11.42%, respectively, and the accuracy of AGB estimation based on Sentinel-2 data was relatively higher. …”
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588
Research on Road Traffic Safety Risk Assessment Based on the Data of Radar Video Integrated Sensors
Published 2025-03-01“…Using 13 days of data from the left lane of Qingdao Jiaozhou Bay Tunnel, the model divides traffic operation risk into high and low categories based on K-means clustering results of accident and safety entropy data. …”
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589
Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy
Published 2014-01-01“…The tests demonstrate that the PPCA-based online monitoring model can achieve satisfactory results under the ROC curve, which denotes a low false alarm rate and high probability of detecting water contamination events.…”
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590
Signed log-likelihood ratio test for the scale parameter of Poisson Inverse Weibull distribution with the development of PIW4LIFETIME web application.
Published 2025-01-01“…To support practical application, the PIW4LIFETIME web application (accessible at https://jularatchumnaul.shinyapps.io/PIW4LIFETIME/) was developed to enable users to assess whether data fit the PIW distribution, estimate model parameters using maximum likelihood, and perform two-sided test for the scale parameter using SLRT. …”
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591
Establishing Interventional Radiology in a Low-Resource Setting: Lessons From Obafemi Awolowo University Teaching Hospitals Complex, Nigeria
Published 2025-07-01“…PURPOSEThe introduction of an interventional radiology (IR) unit at the Obafemi Awolowo University Teaching Hospitals Complex (OAUTHC) in 2017 marked a significant advancement in health care delivery in a low-resource setting in Nigeria. This study documents the processes, milestones, services, challenges, innovations, and collaborations that have supported the establishment of an IR unit.METHODSWe conducted an institutional review board–approved retrospective case study using archival data from the service records (2017-2024). …”
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592
UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment
Published 2024-12-01“…Since vehicles’ sensors generate immense amount of data, the latency in processing these applications also increases, particularly when the data are not independently identically distributed (non-i.i.d.). …”
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593
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594
GPP estimation by transfer learning with combined solar-induced chlorophyll fluorescence and eddy covariance data
Published 2025-05-01“…The SIFEC-TL more effectively captures inter-annual GPP dynamics with underestimation/overestimation over high/low values in the SIFML and ECML models being well corrected. …”
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595
Comparative Ethics of Modern Payment Models
Published 2023-01-01“…Future models must work towards incentivizing principles of distributive justice. …”
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596
Comparative Ethics of Modern Payment Models
Published 2023-01-01“…Future models must work towards incentivizing principles of distributive justice. …”
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597
Impact of Assimilating Microwave Radiance Data on Forecast of "23·7" Extreme Rainstorm in North China
Published 2025-03-01“…CMA-MESO model is utilized to investigate the impact of assimilating multi-source polar-orbiting satellite microwave radiance data on forecast of "23.7" severe rainstorm event in North China. …”
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598
Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization
Published 2025-06-01“…Comparative experiments based on data from two models of hydraulic pumps verify the superior recognition performance of this method under low label rate.…”
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599
Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique
Published 2025-04-01“…The auxiliary classifier generative adversarial network (ACGAN)-based data augmentation algorithm is first employed to generate synthetic yet realistic samples that adhere to the underlying probability distribution of the original data, thereby expanding the dataset and mitigating the impact of small sample sizes. …”
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600
Soybean Water Monitoring and Water Demand Prediction in Arid Region Based on UAV Multispectral Data
Published 2024-12-01“…Surface soil models accurately estimated 0–200 cm soil moisture distribution (R<sup>2</sup> = 0.9995). …”
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