Showing 301 - 320 results of 2,280 for search '(( variables function (coefficiency. OR coefficiency.) ) OR ( variable function efficiency. ))', query time: 0.17s Refine Results
  1. 301

    Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity by Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

    Published 2022-01-01
    “…This paper adopts a multiobjective approach that considers system efficiency, user inconvenience, and transit equity without the use of weights in order to design a more realistic and efficient transit network. …”
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    Article
  2. 302

    Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

    Published 2022-01-01
    “…One of the major obstacles in building an accurate prediction model is optimising the input variables. Therefore, developing an efficient algorithm to select the optimal input parameters that have the highest information content to represent the target and minimise redundant data is very important. …”
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    Article
  3. 303

    Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat. by Panteleimon D Mavroudis, Debra C DuBois, Richard R Almon, William J Jusko

    Published 2018-01-01
    “…The analysis suggests that inter-tissue circadian variability of the same clock-controlled genes is an inherent component of homeostatic function and may arise due to different transcription factor activities on Ebox/RRE/Dbox elements.…”
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    Article
  4. 304

    Optimization Design of Gear Transmission Parameter based on Efficiency Improvement by Rui Su, Gangjun Li, Huazhi Li, Pingping Liu, Yangsen Huang

    Published 2020-11-01
    “…The integral along the length of thread engagement is calculated for the average transmission efficiency expression of gear in meshing process. The expression of the independent variables including active tooth number z1, the transmission ratio i, the friction coefficient f and pressure angle α. …”
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    Article
  5. 305
  6. 306

    Efficient Methodology for Power Management Optimization of Hybrid-Electric Aircraft by Giuseppe Palaia, Karim Abu Salem, Erasmo Carrera

    Published 2025-03-01
    “…The power supplied by the thermal engine, modeled as a time piecewise function, is a design variable; a parametric study on the number of intervals composing this function is performed. …”
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    Article
  7. 307

    VarProDMD: Solving Variable Projection for the Dynamic Mode Decomposition with SciPy’s optimization suite by Gerhard Reinerth, David Messmann, Jean Elsner, Ulrich Walter

    Published 2024-12-01
    “…The available Python library implements a variant of the Levenberg–Marquardt optimizer for the Variable Projection Method. The optimization procedure uses a complex residual function since the measurements can incorporate complex numbers. …”
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    Article
  8. 308

    The recursive algorithm to construct Dirichlet function by A. N. Lysiuk, S. S. Derechennik

    Published 2019-06-01
    “…The importance of this problem is demonstrated for the procedures processing statistical data, representing the ratio of two discrete variables with a variable denominator. It is found out, that that required number of fractions is equal to the Dirichlet function value at the x point, and the original rule is proposed to construct it, which has a simple geometric interpretation. …”
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    Article
  9. 309

    A STUDY OF THE DETERMINANTS OF THE OLIVE CROP PRODUCTION IN NINEVEH PROVINCE: BASHIQA DISTRICT AS A CASE STUDY FOR THE SEASON 2010 by Abdul Salam Hussein, Salah Fahmi Shaba

    Published 2017-06-01
    “…The Output of the olive crop was considered as the explanatory variable and the total cost in Iraqi Dinar is considered as dependant variable. …”
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    Article
  10. 310

    Increasing constraint of aridity on tree intrinsic water use efficiency by Mengjie Wang, Shushi Peng, Zihan Lu, Xiangtao Xu, Andrew Felton, Anping Chen

    Published 2025-08-01
    “…Abstract The intrinsic water use efficiency (W) of trees serves as a key variable linking water and carbon fluxes in forest ecosystems. …”
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    Article
  11. 311

    Acid-Activated Biochar for Efficient Elimination of Amoxicillin From Wastewater by David Adu-Poku, Selina Ama Saah, Patrick Opare Sakyi, Charles Kwame Bandoh, Benjamin Agyei-Tuffour, David Azanu, Michael Oteng-Peprah, Issifu Hawawu, Samuel Azibere, Kweku Amaning Affram

    Published 2024-01-01
    “…In exploring the potential of agricultural waste as an efficient adsorbent, acid-activated coconut husk biochar was prepared, characterized and applied to remove amoxicillin from wastewater. …”
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    Article
  12. 312

    Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm by CHANG Sheng, WAN Yubin, JIANG Tao

    Published 2024-04-01
    “…For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. …”
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    Article
  13. 313
  14. 314

    Dynamic simulation of additively manufactured lattice structures based on variable cross-section beam elements by ZHU Xi, MENG Liang, ZHANG Jing, WANG Jintao, GAO Tong, ZHU Jihong, ZHANG Weihong

    Published 2024-12-01
    “…For lattice structures with different diameters, the inverse problem calibration of the tapered beam parameters is carried out respectively,and an interpolation model for the geometric parameters of the tapered beam as a function of rod diameter is established. Finally,the effectiveness of the interpolation model for the geometric parameters of the variable cross-section beam is verified for lattice structures with different rod diameters and gradient lattices. …”
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    Article
  15. 315

    Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

    Published 2025-07-01
    “…For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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    Article
  16. 316

    Using regression trees for improving the efficiency of nonlinear programming solvers by Fulya Terzi, Necati Aras, M. Gökçe Baydoğan

    Published 2025-04-01
    “…The approach is tested on 24 single-objective functions to reduce the domain of decision variables. …”
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    Article
  17. 317

    The Efficiency of The Interest Channel in The Context of Monetary Policy in Developed Countries by Taner Taş, Kubilay Çağrı Yılmaz

    Published 2023-03-01
    “…Within the framework of the panel VAR model established in line with the results obtained from these tests, the efficiency of the interest channel was investigated with the impulse-response functions and variance decomposition methods. …”
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  18. 318
  19. 319

    A Proposal for a New Python Library Implementing Stepwise Procedure by Luiz Paulo Fávero, Helder Prado Santos, Patrícia Belfiore, Alexandre Duarte, Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Wilson Tarantin Junior, Marcos dos Santos

    Published 2024-11-01
    “…As the main contribution of this study, we present the stepwise function implemented in Python to improve the effectiveness of statistical analyses, allowing the intuitive and efficient selection of statistically significant variables. …”
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    Article
  20. 320

    Numerical modeling for optimized sediment deflection with variable submergence over a row of submerged vanes by Vikalp Chauhan, Ellora Padhi, Gopal Das Singhal

    Published 2025-04-01
    “…This research examines the potential for improved sediment deflection efficiency through the optimisation of variable submergence. …”
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    Article