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Comparison of the efficiency of zero and first order minimization methods in neural networks
Published 2022-12-01“…Numerous experiments show that the analytical calculation time of an N variable function’s gradient is approximately N/5 times longer than the calculation time of the function itself. …”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data
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Nonlinear free oscillation of tri-directional functionally graded porous skew-plates with variable thickness in high-thermal environment
Published 2025-06-01“…For the first time, a finite element model was constructed based on the improved shear deformation plate theory and the von Kármán assumption to analyze the linear and nonlinear free vibration behaviour of tri-directional functionally graded porous (TFGP) skew-plates with variable thickness resting on variable Pasternak-elastic foundation in high-temperature environments. …”
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Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach
Published 2024-11-01“…BackgroundDengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. …”
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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building
Published 2017-01-01“…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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Reliability Analysis in Presence of Random Variables and Fuzzy Variables
Published 2015-01-01“…Furthermore, a technique based on the probability density function evolution method is employed to improve the computational efficiency of the proposed indices. …”
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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs
Published 2025-04-01“…The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings
Published 2025-07-01“…Key indicators such as seedling vigor index, root-to-shoot ratio, photosynthetic traits, and water use efficiency were measured during the. Using the membership function method, seven variables were used to comprehensively assess the impact of different pruning treatments.…”
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Variáveis climáticas e o desempenho de um pivô central, em Cristalina Goiás Climatic variables and performance of center pivot at Cristalina, Goiás, Brazil
Published 2010-03-01“…<br>This research aimed to evaluate center pivot performance as a function of wind speed (VV), relative humidity of air (UR) and mean air temperature (T) and establish a stochastic model to estimate application efficiency as a function of these independent variables. …”
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Onion production costs as a function of water content and soil tillage
“…The costs related to mechanized operations, manual operations, inputs and crop irrigation were determined. The economic efficiency was evaluated through the variables total cost and unit cost of onion production, gross revenue, net revenue and internal rate of return. …”
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A Self-Tuning Variable Universe Fuzzy PID Control Framework with Hybrid BAS-PSO-SA Optimization for Unmanned Surface Vehicles
Published 2025-03-01“…Benchmarks using Rastrigin, Griewank, and Sphere functions show superior convergence and 68% stability improvement. …”
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints
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Hydrophobic nanostructured bioaerogel filters for efficient particulate matter removal
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Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions
Published 2025-06-01“…Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. …”
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Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline
Published 2022-03-01“…This methodology was applied to a boiler house of a district heating system. Relevant variables were formed using a three-stage selection of fac-tors that influence the gas consumption efficiency of the boiler house. …”
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