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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines
Published 2025-05-01“…Experimental validation focusing on capacitor voltage, current, and temperature parameters of UPFC submodules under a 50% missing data scenario demonstrates that the proposed method achieves an 18.7% average error reduction and approximately 30% computational efficiency improvement compared to single imputation and traditional multiple imputation approaches, significantly outperforming neural network models. …”
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Research on high-precision localization method for transport robots in industrial environments based on Improved AMCL and QR code assistance
Published 2025-02-01“…The results show that the positioning error of the scheme in the x direction of the workstation point is ± 0.068 m, the positioning error in the y direction is ± 0.069 m, and the heading angle error is ± 0.107 rad. …”
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Research on the Reconstruction of the Temperature Field in Two-Dimensional Steady-State Thermal Conductivity Based on Physics-Informed Neural Networks
Published 2025-05-01“…Within a temperature range of 10 °C to 40 °C, the method consistently achieves an average relative error of less than 10% and maintains an absolute error within 1 °C across the computational domain. …”
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Advancing methods for comparative urban research: A city-centric protocol and longitudinal dataset for US metropolitan statistical areas.
Published 2025-01-01“…In this article, we introduce a new spatial dataset, decision criteria, and methodological protocol for longitudinal and comparative research with US metropolitan statistical areas (MSAs)-known as 'metros'-in a way that centers a 'city-centric' approach to comparison while significantly reducing spatial error and bias. …”
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Research on data completion and generation of downhole drilling tool attitude based on Long Short-Term Memory neural networks
Published 2025-04-01“…Attitude data loss often occurs due to sensor malfunctions, communication errors, and harsh drilling environments, posing risks to accurate geological modeling and decision-making. …”
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The Need for a Sub‐L1 Space Weather Research Mission: Current Knowledge Gaps on Coronal Mass Ejections
Published 2025-02-01“…Next, we show that measurements with angular separations of ≲0.35° have negligible errors but separations of a few degrees can result in significant errors in lead time and in the forecasted magnetic field strength of CMEs. …”
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Research and validation of forest carbon sequestration measurement model based on biomass method-A case study of Guizhou Province.
Published 2025-01-01“…Compared with the existing forestry carbon sequestration project evaluation, the results showed that the average relative error of the model was 6. 09%, and the absolute error range was 0. 348-4. 262/hm2, and the model effect was good. …”
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A hybrid integration framework based on LOOCV and SARIMA: relationship exploring and predictive analysis between discipline attention and literature research
Published 2025-04-01“…Finally, the prediction errors of different methods were compared. Based on the RAPA framework, the correlation analysis found that the r-values of subject attention and literature researches were all greater than 0.75, indicating a positive correlation between them. …”
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