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821
Modelling the Accommodation Preferences of Tourists by Combining Fuzzy-AHP and GIS Methods
Published 2021-01-01Get full text
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822
Methods of simulation mathematical modeling of the Russian derivatives market in modern times
Published 2019-12-01“…The result of the simulation mathematical modeling analysis has shown that the most efficient methods in the derivatives market are those based on realistic non-Gaussian Levy processes. …”
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823
Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods
Published 2024-12-01“…Their Random Forest (RF) classifier, combined with Feature Importance (FI) selection, achieved an accuracy of 97.17%, illustrating the positive impact of RF and relevant feature selection on model performance. A comparative analysis indicated that Ivanov et al.’s method achieved the highest accuracy rate. …”
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824
Bank Syariah Indonesia Share Price Prediction Using Fuzzy Time Series Model Lee Method
Published 2022-01-01“…The purpose of this study is to find out how the results of the prediction of the highest stock price of Bank Syariah Indonesia by using the FTS method lee model. This research uses the highest price value of Bank Syariah Indonesia shares, and the data analysis technique used in this study is descriptive statistical analysis Based on the results of research conducted obtained the results of the highest price prediction of Bank Syariah Indonesia daily shares for the next period is as of July 21, 2021 is $2,492.67 per share, and the fuzzy time series error rate using MAPE is 2.28263%. …”
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825
A comprehensive review on uncertainty modeling methods in modern power systems
Published 2025-05-01“…The applications of uncertainty modeling methods in modern power system operation are summarized from the aspects of steady state, dynamic, and risk analysis of modern power systems. …”
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826
Stability-Preserving Model Reduction and Interpolation for Vibration Optimization in Beam-like Structures
Published 2025-05-01“…High-fidelity finite element models offer precise vibration analysis. However, their use in iterative optimization is computationally demanding. …”
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827
Analysis of the trading interval duration for the Bitcoin market using high-frequency transaction data
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828
A Comparison of the Approaches to Customer Experience Analysis
Published 2017-08-01Get full text
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829
Validation of the evaluation of longevity by weighted analysis
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830
Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods
Published 2025-02-01“…(1) Background: Survival analysis models in clinical research must effectively handle censored data, where complete survival times are unknown for some subjects. …”
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831
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832
Analysis of Methods for Training Robotic Manipulators to Perform Complex Motion Trajectories
Published 2025-07-01“…It provides a comparative analysis of modern training methods, highlighting their advantages and disadvantages. …”
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833
Thermal Stress Analysis of Maxillary Dentures with Different Reinforcement Materials Under Occlusal Load Using Finite Element Method
Published 2024-11-01“…Thermal stress analyses of the models were carried out using the finite element method. …”
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834
Error analysis of Crank–Nicolson-FEM for Fitzhugh–Nagumo system with Robin boundary conditions
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835
Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis
Published 2025-07-01“…The study employs interpretative analysis methods such as the Shapley additive explanation method, partial dependence plots, and individual conditional expectation plots to explore feature interplay and improve model transparency. …”
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836
Analysis of selected methods of person identification based on biometric data
Published 2025-06-01Get full text
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837
Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis
Published 2022-12-01“…Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. …”
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838
Analysis of Selected Methods of Computer-Aided Design for Stage Structures
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839
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840
Construction and optimization of quantitative analysis models for pigments in broccoli (Brassica oleracea L. var. italica) based on near-infrared spectroscopy technology
Published 2025-05-01“…However, the ACN model based on SNV / 1st derivative / PLS exhibited relative lower accuracy, with an R2 of 0.790, RMSEC of 1.777 units g−1 DW, RPD of 1.267, suggesting the necessity for preliminary analysis. …”
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