Showing 841 - 860 results of 2,280 for search '(variable OR variables) function (coefficiency. OR efficiency.)', query time: 0.16s Refine Results
  1. 841

    Variational Iteration and Linearized Liapunov Methods for Seeking the Analytic Solutions of Nonlinear Boundary Value Problems by Chein-Shan Liu, Botong Li, Chung-Lun Kuo

    Published 2025-01-01
    “…The boundary shape function method transforms the boundary value problem to an initial value problem (IVP) for a new variable. …”
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    Article
  2. 842

    CLINICAL SIGNIFICANCE OF ASPIRIN RESISTANCE IN PATIENTS WITH CARDIO-VASCULAR DISEASES by P. J. Dovgalevsky, N. V. Furman, N. F. Puchinian

    Published 2016-01-01
    “…Possible reasons for this are discussed: low compliance with treatment, peculiarities of functional condition of platelets, genetically given variability of platelet receptors etc. …”
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  3. 843

    Application of the variation operator in a genetic algorithm for the synthesis of fuzzy controllers by I. V. Kulikova

    Published 2021-01-01
    “…This article studies the problem of increasing the efficiency of fuzzy controller synthesis in a control system using a genetic algorithm. …”
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  4. 844

    Nonlinear Dynamics of an Electromagnetically Actuated Cantilever Beam Under Harmonic External Excitation by Nicolae Herisanu, Bogdan Marinca, Vasile Marinca

    Published 2024-11-01
    “…Also, Pontryagin’s principle with respect to the control variable is applied in the construction of the Lyapunov function.…”
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  5. 845

    Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

    Published 2020-12-01
    “…The search for optimum design variables is conducted by using a recent heuristic method, namely Grey Wolf Optimizer. …”
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  6. 846

    A new method for routing protocols using hybrid fuzzy clustering in UWSNs by Xiaoju Wang, Bin Meng, Xuexu Yuan, Junwei Zhao

    Published 2025-06-01
    “…Besides, the new scheme improved energy variance by 40% at nodes to prolong the network lifetime and maintain a higher throughput in conditions of variable network load. This fuzzy clustering technique stands apart because it tries to overcome UWSN-specific challenges using adaptive data aggregation along with multistep communication and hence is more resistant and energy-efficient compared to the conventional protocols.…”
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  7. 847

    Span of Control in Teamwork and Organization Structure by Katarina Remenova, Zuzana Skorkova, Nadezda Jankelova

    Published 2018-06-01
    “…The results of non-parametric testing (Chi-Square Test of Independence) and rates of association between variables (using Cramér’s V and Phi coefficient and for ordinal variables, Kendall’s tau-b, GoodmanKruskal’s Gamma, Kendall’s tau-c and Somers’ d) indicate that the team size is not related to the level of management, which does not confirm the assumption that the largest teams work at the lowest management level and vice versa, that the team leader at the top level is in charge of the smallest number of people. …”
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  8. 848
  9. 849

    Local calibration of JPCP transverse cracking and IRI models using maximum likelihood estimation by Rahul Raj Singh, Syed Waqar Haider, James Bryce

    Published 2024-12-01
    “…The approach uses measured data from the Michigan Department of Transportation's (MDOT) pavement management system (PMS) database for 70 jointed plain concrete pavement (JPCP) sections to calibrate and validate transfer functions. The MLE approach is combined with resampling techniques to improve the robustness of calibration coefficients. …”
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  10. 850

    Ecological and Ergonomic Aspects of Operating Hybrid Sunflower Cultivation Technologies by M. A. Kerimov, V. V. Vetushko

    Published 2025-07-01
    “…(Results and discussion) The study demonstrates that the research objective is achieved through two core systems engineering tasks: analysis, which involves identifying key parameters of the biotechnical system and environmental variables that exhibit probabilistic-statistical variability; and synthesis, which involves justifying an optimal control scheme for system operation. …”
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  11. 851

    Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

    Published 2018-10-01
    “…The article deals with the multi-criteria task of routing and scheduling of unmanned and manned aircraft using the method of penalty functions. The authors describe the urgency of the problem being solved for the airline management under the conditions of the existing changes in the dynamic situation with a great variety of flight situations. …”
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  12. 852
  13. 853

    Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

    Published 2025-01-01
    “…Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimization (PSO) algorithm. …”
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  14. 854

    Multiparametric positron emission tomography/magnetic resonance imaging in nasopharyngeal carcinoma: Correlations between magnetic resonance imaging functional parameters and18F-fl... by Sheng-Chieh Chan, Shu-Hang Ng, Chih-Hua Yeh, Kai-Ping Chang

    Published 2021-01-01
    “…Materials and Methods: We enrolled 85 patients with primary NPC who simultaneously underwent18F-fluorodeoxyglucose PET/CT and PET/MRI before definitive treatment. The following variables were determined: (1) functional parameters from the MRI component, including perfusion values (Ktrans,kep,ve, and initial area under the enhancement curve) and apparent diffusion coefficient (ADC) values, and (2) PET parameters, including metabolic tumor volume (MTV). …”
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  15. 855

    Resting-State Brain Network Characteristics Related to Mild Cognitive Impairment: A Preliminary fNIRS Proof-of-Concept Study by Guohui Yang, Chenyu Fan, Haozheng Li, Yu Tong, Shuang Lin, Yashuo Feng, Fengzhi Liu, Chunrong Bao, Hongyu Xie, Yi Wu

    Published 2025-01-01
    “…Subject sRSFC strength and dRSFC variability coefficients were evaluated via fNIRS. The study evaluated the feasibility of using fNIRS to measure these connectivity metrics and compared resting-state brain network characteristics between the two groups. …”
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  16. 856
  17. 857

    An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

    Published 2025-05-01
    “…Abstract Engineering design optimization problems present significant challenges due to the complexity of objective functions, which often involve both continuous and discrete design variables, along with multiple constraints. …”
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  18. 858

    Numerical Investigation, Error Analysis and Application of Joint Quadrature Scheme in Physical Sciences by Saumya Ranjan Jena, Damayanti Nayak, Mitali Madhumita Acharya, Satya Kumar Misra

    Published 2023-10-01
    “…Numerical results of the present method with a lower level of precision are presented and compared with those performed by the existing high-precision Gauss-Legendre five-point rule in two variables, which has the same functional evaluation. …”
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  19. 859

    Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations by Wulfran Fendzi Mbasso, Reagan Jean Jacques Molu, Ambe Harrison, Mukesh Pushkarna, Fritz Nguemo Kemdoum, Emmanuel Fendzi Donfack, Pradeep Jangir, Pierre Tiako, Milkias Berhanu Tuka

    Published 2024-10-01
    “…The hybrid model, which combines sinusoidal and polynomial functions, achieved an accuracy of 79.15% in estimating energy consumption using temperature as a predictor variable. …”
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  20. 860

    Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest by Chunmei He, Yushan Li, Xiaoxia Dai, Na Liu, Fangfang Wu, Jiangbo Yan, Meiping Gao, Yonghui Liang, Zuoqiang Yuan, Zhanqing Hao, Qiulong Yin

    Published 2025-01-01
    “…Spearman correlation coefficients were used to analyze the correlations between AGB and the variables. …”
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