Showing 961 - 980 results of 2,280 for search '(( variables function coefficiency. ) OR ( variables function efficiency. ))', query time: 0.21s Refine Results
  1. 961

    Tomato quality based on colorimetric characteristics of digital images by Thaísa B. Bello, Anderson G. Costa, Thainara R. da Silva, Juliana L. Paes, Marcus V. M. de Oliveira

    “…The correlation between colorimetric and physico-chemical variables was analyzed using the Pearson’s coefficient. …”
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    Article
  2. 962

    Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

    Published 2024-11-01
    “…The MM–BO–XGBoost model demonstrates excellent training efficiency and prediction performance.Conclusion The analysis of the mechanism of the VD furnace refining process and Pearson correlation analysis are conducted, and the input variables for the prediction model of VD furnace endpoint liquid steel temperature are identified. …”
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    Article
  3. 963

    Fuzzy System for the Quality Assessment of Educational Multimedia Edition Design by Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova, Iryna Pikh

    Published 2025-04-01
    “…A multilevel model of fuzzy logical inference is constructed, representing the dependency between quality factors. Membership functions for linguistic variables are formed and their weight coefficients are determined using pairwise comparison matrices. …”
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    Article
  4. 964

    Multi-objective trajectory planning for connected and autonomous vehicles in mixed traffic flow by Hui Li, Yunfei Ge, Yahui Guo, Yu Guan, Xu Zhang

    Published 2025-06-01
    “…The reward function integrates multiple objectives, including safety, fuel consumption, and traffic efficiency. …”
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    Article
  5. 965

    Vibration Response and Evaluation Method of High-Speed Tracked Vehicles Driving Off-Road by Xin-yong Qiao, Ying Jin, Cheng Gu

    Published 2022-01-01
    “…Three fitting methods, namely polynomial response surface, Kriging method, and radial basis function neural network, were used to establish approximate models between the design variables and the objective function, respectively. …”
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    Article
  6. 966

    THE USE OF CORRELATION ANALYSIS OF TWO-DIMENSION STOCHASTIC PROCESS FOR HELICOPTER MAINTENANCE WORKABILITY ESTIMATION by Y. M. Chinyuchin, A. S. Solov’ev

    Published 2017-03-01
    “…The linear correlated dependence is considered as linear or anyconnection close to it between two variables for which the correlated analysis theorem is true.The algorithm of calculated program complex for helicopter maintenance workability estimation consists of five steps: choice of equipment that needs to be installed on the helicopter; correlation coefficient calculation for helicopters having this equipment and revealing of optimal variants of location; zone partition of the developed helicopter and analysis of possi- ble disposal of clusters in optimal order; disposal of clusters on the designed helicopter; correlation coefficient calculation, direct regression construction for the designed helicopter and comparison of these readings with helicopters-analogues. …”
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  7. 967

    Jacobian-Free Newton Krylov Methods for Steady and Transient Neutron Transport Models by ZHANG Yangyi, ZHANG Tiancheng, ZHOU Xiafeng

    Published 2024-06-01
    “…To further improve computational efficiency of comeSn_JFNK, in the JFNK solution, neutron scalar fluxes instead of neutron angular fluxes were chosen as the global solution variables. …”
    Article
  8. 968

    Multiobjective optimization of suspension bridges via coupled modeling and dual population multiobjective particle swarm optimization by Peiling Yang, Jianhua Deng, Anli Wang

    Published 2025-07-01
    “…The Lasso function is used for elastic net regression analysis to evaluate the impact of design variables on the objective functions. …”
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    Article
  9. 969

    Parental acceptance of novel children's medical syringes and their influencing factors by Su Wen Luo, Peng Rui Yang

    Published 2025-03-01
    “…Furthermore, the product's function and price value significantly shape users' behavioral intentions. …”
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    Article
  10. 970

    DeBo: Contrast enhancement for image registration using binary differential evolution and bat optimization. by Muhammad Adeel Akram, Tallha Akram, Umer Javed, Muhammad Rafiq, Mehvish Naz, Di He

    Published 2024-01-01
    “…In this study, we proposed a hybrid binary differential evolution and BAT optimization model to enhance contrast stretching by optimizing a decision variables in the transformation function. To validate its efficiency, the proposed approach is utilized as a preprocessor before feature extraction in image registration. …”
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    Article
  11. 971

    Back-Analysis of Parameters of Jointed Surrounding Rock of Metro Station Based on Random Forest Algorithm Optimized by Cuckoo Search Algorithm by Xinping Guo, Annan Jiang, Xiang Liu

    Published 2022-01-01
    “…In this method, the mean square error between the measured displacement (stress) and the calculated displacement (stress) is taken as the objective function, and the joint parameters are taken as the decision variables. …”
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  12. 972

    A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholam Hossein Yari

    Published 2022-01-01
    “…In the proposed model, the complementary reciprocal of the location parameter of response variable is considered to be a linear function of the explanatory variables. …”
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    Article
  13. 973

    An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

    Published 2025-01-01
    “…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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    Article
  14. 974

    The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

    Published 2019-03-01
    “…After optimization of parameters for kernel function, the bed load transport rate was predicted and obtained results from different models were investigated in terms of correlation coefficient (R), Root mean square error (RMSE) and Nash-Sutcliffe (NSE). in order to assess the capability of SVM in quantification of bed load under varied hydraulic conditions, Froude number (Fr) and bed slope of channel (S0) were selected as a parameters describing the hydraulic conditions and median diameter of the sediment particles (D50) and shear Reynolds number (Re*) were considered as a representative of sediment characteristic. …”
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    Article
  15. 975

    Analyzing the influence of TOE factors on e-auditing adoption in audit firms: The moderating effect of trust by Reem Al-Araj

    Published 2025-01-01
    “…Data show that trust functions as a supportive variable for the relationship between TOE and e-auditing but provides minimal strength. …”
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    Article
  16. 976

    Classification of petroleum origin and integrity by FTIR by FJ. Guzmán-Osorio, VI. Domínguez-Rodríguez, RH. Adams, CE. Lobato-García, A. Guerrero-Peña, JR. Barajas-Hernández

    Published 2021-06-01
    “…The canonic functions derived from the discriminate analysis had correlation coefficients of 0.994, 0.900, and 0.867, among the variables studied and the classification factor. …”
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    Article
  17. 977

    Parameter Calculation and Rotor Structure Optimization Design of Solid Rotor Induction Motors by Hao Xu, Jinghong Zhao, Sinian Yan

    Published 2025-05-01
    “…On this basis, with efficiency, power factor, starting torque and starting current as the optimization objectives, and the number of slots, slot depth, slot width, squirrel cage material and end ring thickness as the optimization variables, the optimization schemes of slotted rotor and squirrel cage rotor are obtained by using the three-dimensional finite element method. …”
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  18. 978

    Sustitución parcial de alimento balanceado comercial por saccharina rústica en pollo de engorde by Dixon Fabián Flórez-Delgado, Jesús Esteban Fonseca-García, Dubel Reinaldo Cely-Leal

    Published 2022-12-01
    “…Polynomial regression and the derivative of a quadratic function were used to determine the optimal saccharina level. …”
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  19. 979

    Enlightening the Critical Factors affecting the Solvency of Indian Construction Industry: An Empirical Analysis using Multivariate Discriminant Analysis and Logistic Regression by RAKESH SHARMA, Neba Bhalla

    Published 2025-07-01
    “…So one discriminant function is created and found significant at 5% levels for two different solvency parameters. …”
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  20. 980

    Economics production buffalo breeding farms in the province of Nineveh (Badush area a case stady) by Salim AL- Nuaimy, Zwaid, F. Abd, Mahasen, M, Sultan

    Published 2018-12-01
    “…Results of the estimation showed that the double logarithmic formula is the best formula for the representation of production function and that the function and all the explanatory variables are statistically significant except for green feed and veterinary services.The most significant effect of the employment variable was on the production process، with  elasticity of 0.277 and  positive indication، and the results of the cost function estimate the best formulas to represent the relationship. …”
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    Article