Search alternatives:
variable » variables (Expand Search)
Showing 821 - 840 results of 2,133 for search 'variable function ((co(efficient. OR efficiency.) OR coefficiency.) OR (efficient. OR efficiency.))', query time: 0.26s Refine Results
  1. 821

    Cost-effective process design for methanol synthesis from carbon dioxide hydrogenation by Sheng-Zhong Huang, Chih-Yao Lin, Chianghui Wang, Akhmat Fauzan Saputra, Henggar Yudha Hananto, Nicolas Justin Sutanto, Anggit Raksajati, Vincentius Surya Kurnia Adi

    Published 2025-09-01
    “…Accordingly, this research introduces an optimization framework capable of handling diverse process configurations, operating variables, and their interactions. This approach enables effective optimization using total annual cost (TAC) as the objective function and significantly enhances process design efficiency. …”
    Get full text
    Article
  2. 822
  3. 823

    Chebyshev Polynomials of Sixth Kind for Solving Nonlinear Fractional PDEs with Proportional Delay and Its Convergence Analysis by Khadijeh Sadri, Hossein Aminikhah

    Published 2022-01-01
    “…With the aid of these bounds, a bound for the residual function is estimated. Three illustrative examples demonstrate the simplicity and efficiency of the proposed method.…”
    Get full text
    Article
  4. 824
  5. 825
  6. 826
  7. 827
  8. 828

    Passive Heat Stimuli as a Systemic Training in Elite Endurance Athletes: A New Strategy to Promote Greater Metabolic Flexibility by Sergi Cinca-Morros, Martin Burtscher, Fernando Benito-Lopez, Jesús Álvarez-Herms

    Published 2025-06-01
    “…<b>Objectives:</b> The ability to efficiently regulate body temperature is crucial during endurance activities such as trail running, especially during competitive events in hot conditions. …”
    Get full text
    Article
  9. 829

    Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

    Published 2025-04-01
    “…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
    Get full text
    Article
  10. 830

    Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

    Published 2025-01-01
    “…Demonstrated effectively in China Southern Grid’s island microgrid setup, LE-LFC emerges as an advanced solution for modern grid variability, offering superior robustness, adaptability, and learning speed, thus enabling flexible and efficient energy system management.…”
    Get full text
    Article
  11. 831

    Exploring the Future Energy Value of Long-Duration Energy Storage by Anna H. Schleifer, Stuart M. Cohen, Wesley Cole, Paul Denholm, Nate Blair

    Published 2025-03-01
    “…The negative effect of lower roundtrip efficiency on value is also found to be scenario-dependent, with the energy value in higher VRE scenarios being less sensitive to roundtrip efficiency and more supportive of longer storage durations. …”
    Get full text
    Article
  12. 832

    Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling by Genlai Zhang, Lei Wang, Zhilong Deng, Xuanbo Liu, Xichao Su, Haixu Li, Chen Lu, Kai Liu, Xinwei Wang

    Published 2025-08-01
    “…Then, taking the landing sequencing as decision variables, a combinatorial optimization model with a compound objective function is formulated. …”
    Get full text
    Article
  13. 833

    An inclusive solution based on grey water footprint for performance evaluation of industrial wastewater treatment systems by Keivan Arastou, Ali Dehnavi, Shervin Jamshidi

    Published 2025-07-01
    “…The GWCF of AS was 347.8 m3/kg-CO2 indicating a superior efficiency over MBR with 84.9 m3/kg-CO2. …”
    Get full text
    Article
  14. 834

    Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

    Published 2024-11-01
    “…As one of the main equipment in coal mining, the health status of shearer is difficult to be accurately monitored due to some factors such as harsh working environment and narrow operating space, and it is highly susceptible to the impact of coal and rock, which can cause faults and directly affect the working efficiency of shearer. In addition, due to the special working environment of shearer, the vibration data collected is very easy to be interfered by various factors and difficult to be used, which affects the reliability and intelligence level of its monitoring. …”
    Get full text
    Article
  15. 835

    A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

    Published 2025-06-01
    “…These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
    Get full text
    Article
  16. 836

    Optimization of power output in plateau photovoltaic power stations using a hybrid Kepler and Gaussian quantum particle swarm algorithm by Shuang Gan, Heng Hu, Shaoshuai Li, Qian Peng, Taidong Yan, Huasheng Gong, Yuancheng Zhang

    Published 2025-07-01
    “…The optimization process is modeled with key decision variables, including panel configurations, snow removal strategies, and system efficiency adjustments. …”
    Get full text
    Article
  17. 837

    基于modeFRONTIER的离合器碟形弹簧多目标优化设计 by 潘金坤

    Published 2011-01-01
    “…Based on the analysis of the working characters of disc springs in clutch,the mathematical model of multi-objective optimal design of disc springs is established with unified objective function method,which regards the minimization of the disc spring volume and its average variable quantity of working compress force within the scope of friction lining wear as optimal objectives.The optimization calculation is presented by using the software modeFRONTIER.The results indicate that the relevant performance of disc springs is significantly improved after optimal design,with the objective function values reduced by 36% and 6% respectively.The software modeFRONTIER,with its simplicity and efficient algorithm,solves optimization problems and improves design efficiency.…”
    Get full text
    Article
  18. 838

    Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems by Jhon Montano, John E. Candelo-Becerra, Cristian Escudero-Quintero, Juan Pablo Guzmán

    Published 2025-09-01
    “…The problem is formulated to minimize variable and fixed generation costs, network power losses, and CO2 emissions of the microgrid with distributed energy resources, considering the constraints of the network, generation, and energy storage. …”
    Get full text
    Article
  19. 839

    Inference of Impulse Responses via Bayesian Graphical Structural VAR Models by Daniel Felix Ahelegbey

    Published 2025-04-01
    “…Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models. …”
    Get full text
    Article
  20. 840

    p53 transactivation and the impact of mutations, cofactors and small molecules using a simplified yeast-based screening system. by Virginia Andreotti, Yari Ciribilli, Paola Monti, Alessandra Bisio, Mattia Lion, Jennifer Jordan, Gilberto Fronza, Paola Menichini, Michael A Resnick, Alberto Inga

    Published 2011-01-01
    “…<h4>Methodology/principal findings</h4>Given the many factors that might influence p53 function, including expression levels, mutations, cofactor proteins and small molecules, we expanded our previously described yeast-based system to provide the opportunity for efficient investigation of their individual and combined impacts in a miniaturized format. …”
    Get full text
    Article