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Association Analysis of Benzo[<i>a</i>]pyrene Concentration Using an Association Rule Algorithm
Published 2025-05-01“…The clustering performance was enhanced by optimizing the K-means method using the sum of squared error. …”
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463
A Combined RSM-FEM Analysis of Electric Field Distribution in a Novel Design of an Inclined-Plane Electrostatic Separator
Published 2025-05-01“…The correlation between simulated data and model predictions was strong (R² > 0.99), with prediction errors not exceeding 5.83%. Comparative analysis revealed that our model enhanced E-field parameters by approximately 65% compared to conventional designs.…”
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464
A Vision-Based Procedure with Subpixel Resolution for Motion Estimation
Published 2025-05-01Get full text
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465
Application of Real-Time Palm Imaging with Nelder–Mead Particle Swarm Optimization/Regression Algorithms for Non-Contact Blood Pressure Detection
Published 2024-11-01“…This study compares two distinct non-contact BP measurement approaches: one combining the Nelder–Mead simplex method with particle swarm optimization (NM-PSO) and the other using machine learning regression analysis. …”
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466
Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System
Published 2025-07-01“…The first stage employs an optimized increment-based detection algorithm achieving 95.0% for recall and 54.8% for precision through multidimensional analysis. …”
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467
Development of Reaction-Rectification Process of Obtaining Mesityl Oxide. II. Analysis of Statics and Modeling of the Process
Published 2019-05-01“…Using the results of an earlier study of the physicochemical properties of the reaction system of the process of producing mesityl oxide, an analysis of the statics of the combined variant of the organization of this process was carried out. …”
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468
Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude.
Published 2025-01-01“…However, their efficiency depends on minimizing distortions in the radio frequency (RF) interface, evaluated through Error Vector Magnitude (EVM). Increased EVM leads to packet losses and reduced throughput, making its reduction essential for stable and high-quality networks. …”
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469
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Optimal Tracking for a Divergent-Type Parabolic PDE System in Current Profile Control
Published 2014-01-01Get full text
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471
Analytical Design and Optimization of an Automotive Rubber Bushing
Published 2019-01-01“…To validate the resulting data, a finite element analysis (FEA) is carried out with the optimized values. …”
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472
Optimization for header parameters of rape combine harvester
Published 2018-07-01“…Under the optimized conditions, the header loss rate was 0.97%, the feed amount was 8.35 kg/s, and the experimental value was 1.01% for the header loss rate, 8.48 kg/s for the feed amount with the relative error of less than 5%. …”
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473
Entropy-extreme concept of data gaps filling in a small-sized collection
Published 2025-03-01Get full text
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474
A Posteriori L_∞ (L_2 )+L_2 (H^1 )–Error Bounds in Discontinuous Galerkin Methods For Semidiscrete Semilinear Parabolic Interface Problems
Published 2021-09-01“…More specifically, optimal order a posteriori error analysis in the - norm for semidiscrete semilinear parabolic interface problems is derived by using elliptic reconstruction technique introduced by Makridakis and Nochetto in (2003). …”
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475
Axial length to corneal radius of curvature ratio and refractive error in Chinese preschoolers aged 4–6 years: a retrospective cross-sectional study
Published 2023-12-01“…AL and CRC were obtained using a non-contact ocular biometer. Correlation analysis was performed to explore the associations of AL/CRC ratio with spherical equivalent refractive error (SER). …”
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476
Robust object counting through distribution uncertainty matching and optimal transport
Published 2025-08-01“…We provide a theoretical analysis and show that the generalization error bound of the proposed loss is tight. …”
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477
Optimal configuration of multi-microgrid energy system based on historical data
Published 2025-05-01“…It collects the historical annual wind and solar output data of the region, and uses the BP neural network to predict the photovoltaic output of the next year based on the historical data to ensure the reasonableness of capacity configuration of the micro-grid equipment, as well as considers the influence of photovoltaic prediction error on the accuracy of the results. Taking the installation cost, maintenance cost, etc. as the objective function to carry out the optimization analysis, it sets up the independent operation and joint operation of the micro-grid for comparative analysis. …”
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478
SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis
Published 2022-01-01Get full text
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