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141
Cost Optimisation of Supply Chains in the Food Industry: Cost Function Modelling
Published 2025-05-01“…The proposed cost function allows for assessing the impact of these variables on total costs and identifying critical areas for optimisation. …”
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144
A Numerical Scheme Based on the Chebyshev Functions to Find Approximate Solutions of the Coupled Nonlinear Sine-Gordon Equations with Fractional Variable Orders
Published 2021-01-01“…In this article, a numerical method based on the shifted Chebyshev functions for the numerical approximation of the coupled nonlinear variable-order fractional sine-Gordon equations is shown. …”
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145
Analysis and spatial prediction of water retention curves in two types of soil
Published 2024-01-01Get full text
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146
A MATHEMATICAL APPROACH TO INVESTMENT WITH CHARGE ON BALANCE AND VOLUNTARY CONTRIBUTIONS UNDER WEIBULL MORTALITY FORCE FUNCTION
Published 2025-01-01“…By applying the variable separation technique and mean variance utility, the optimal control strategy (OCS) and the efficient frontier are obtained. …”
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147
Efficiency of tray dryer moisture removal: Experimental and AI studies
Published 2025-12-01“…These results offer practical guidance for optimizing the tray dryer efficiency.…”
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148
On a Characterization of Exponential and Double Exponential Distributions
Published 2025-02-01Get full text
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149
Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing
Published 2022-04-01Get full text
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150
Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function
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151
A Data-Driven Iterative Feedforward Tuning Strategy with a Variable-Gain Feedback Controller for Linear Servo Systems
Published 2025-06-01“…Theoretical verification and experimental results indicate the excellent iterative efficiency and accuracy of IFFT with a variable-gain feedback controller.…”
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152
Leveraging normal distribution and fuzzy S-function approaches for solar cell electrical characteristic optimization
Published 2025-05-01“…Furthermore, a fuzzy S-function model was applied to account for uncertainty and variability in real-world conditions. …”
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Optimal Control Systems by Time-Dependent Coefficients Using CAS Wavelets
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156
A Small Perturbation CFD Method for Calculation of Seal Rotordynamic Coefficients
Published 1996-01-01“…The rotor of the seal is assumed to undergo a prescribed small whirling motion about its nominal position. The resulting flow variable perturbations are expressed as Fourier functions in time. …”
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157
The CFS-PML for 2D Auxiliary Differential Equation FDTD Method Using Associated Hermite Orthogonal Functions
Published 2017-01-01“…The complex frequency shifted (CFS) perfectly matched layer (PML) is proposed for the two-dimensional auxiliary differential equation (ADE) finite-difference time-domain (FDTD) method combined with Associated Hermite (AH) orthogonal functions. According to the property of constitutive parameters of CFS-PML (CPML) absorbing boundary conditions (ABCs), the auxiliary differential variables are introduced. …”
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158
Averaged and Integrated Estimations of Varying-Coefficient Regression Models with Dependent Observations
Published 2019-01-01“…This paper studies the varying-coefficient regression models with different smoothing variables when the data form a stationary α-mixing sequence. …”
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159
Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China
Published 2020-01-01“…Finally, six evaluation indices (mean absolute error (MAE), RMSE, correlation coefficient (Corr), deviation rate bias, Nash–Sutcliffe efficiency (NSE), and index of agreement (IA)) are calculated. …”
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160
Novel Hybrid Function Operational Matrices of Fractional Integration: An Application for Solving Multi-Order Fractional Differential Equations
Published 2025-05-01“…The developed algorithm was then applied to a range of benchmark problems, including both linear and nonlinear multi-order FDEs with constant and variable coefficients. Numerical comparisons with well-established methods in the literature revealed that the proposed approach not only achieved higher accuracy but also significantly reduced computational effort, demonstrating its potential as a reliable and efficient numerical tool for fractional-order modeling.…”
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