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Heuristic Global Optimization for Thermal Model Reduction and Correlation in Aerospace Applications
Published 2025-06-01“…This study addresses the challenge of accurately correlating detailed and reduced thermal models in aerospace applications by using heuristic global optimization methods. …”
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62
Fiber optic gyroscope with output signal noise reduction system: effect of system parameters on noise reduction
Published 2025-07-01“…The purpose of this work is to determine the optimal parameters for matching the signals of the measuring channels of a fiber-optic gyroscope with an output signal noise reduction system. Methods. The paper analyzes the circuit of a fiber-optic gyroscope with an output signal noise reduction system based on subtracting the signal of the reference measuring channel containing the intensity noise of the optical radiation source from the signal of the main measuring channel containing the useful information signal and the noise component. …”
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63
Enterprise power emission reduction technology based on the LSTM–SVM model
Published 2025-08-01“…In terms of research methods, load type analysis is first conducted for industrial enterprises, followed by the introduction of long short-term memory (LSTM) networks to build a basic model for power data prediction. …”
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64
A vibroacoustic model of a reduction line of a gas installation
Published 2015-07-01“…This paper proposes a method for predicting the sound power level of a reduction line of a gas installation, based on a vibroacoustic cylindrical equivalent model. …”
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65
Model Order Reduction by Legendre Expansion Using Harmony Search Algorithm
Published 2024-02-01“…In this paper, a new approach is investigated for order reduction based on Legendre expansion. Harmony Search is used in this approach, to determine the reduced order model's parameters. …”
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66
GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM
Published 2021-06-01Get full text
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67
Swelling reduction in bentonite due to saline solutions via fractal modeling
Published 2025-07-01Get full text
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68
Chemical Equilibrium and Energy Consumption Analysis on Biomass and Iron Oxides Direct Reduction Ironmaking Process
Published 2025-01-01“…A thermodynamic equilibrium model and energy consumption model for the biomass and iron oxide reduction system at 100–1300 °C was established by the minimum free Gibbs energy method. …”
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Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods
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72
Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning
Published 2025-04-01Get full text
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73
Effect of soil-structure interaction and flexibility of base on reduction of shear base by BNWF method
Published 2024-09-01“…With increasese of base flexibility the rate of reduction of shear base increasesd. To model the flexible foundation, Beam Nonlilear Winkler Foundation (BNWF) method is used. …”
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74
A dimension reduction assisted credit scoring method for big data with categorical features
Published 2025-01-01“…We argue that current studies related to the development of credit scoring models have largely ignored recent developments in statistical methods for sufficient dimension reduction. …”
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75
Nomogram for spontaneous reduction in pediatric intussusception: a retrospective study
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76
IterDBR: Iterative Generative Dataset Bias Reduction Framework for NLU Models
Published 2025-01-01“…To address this, we introduce IterDBR, an Iterative Generative Dataset Bias Reduction Framework for NLU Models, which reduces dataset bias without the need for predefined features. …”
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77
Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography
Published 2025-02-01“…In this paper, we present a two-stage algorithm based on metal artifact reduction, utilizing model-based iterative reconstruction methods with adaptive adjustment of regularization parameters. …”
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78
Advancements in noise reduction for wheel speed sensing using enhanced LSTM models
Published 2025-07-01“…Abstract This research presents an Enhanced Long Short-Term Memory (LSTM) deep learning model for robust noise reduction in automotive wheel speed sensors. …”
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79
Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps
Published 2025-03-01“…Standard Principal Component Analysis (PCA) and sparse robust PCA methods were used for data reduction to simplify the fitted models and minimize overfitting. …”
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80
Dietary salt reduction and cardiovascular disease rates in India: a mathematical model.
Published 2012-01-01“…<h4>Methods and results</h4>Future myocardial infarctions (MI) and strokes in India were predicted with a Markov model simulating men and women aged 40 to 69 in both urban and rural locations, incorporating the risk reduction from lower salt intake. …”
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