Showing 241 - 260 results of 2,280 for search '(( variable function efficiency. ) OR ( variables function coefficiency. ))', query time: 0.15s Refine Results
  1. 241

    Variable Structure Depth Controller for Energy Savings in an Underwater Device: Proof of Stability by João Bravo Pinto, João Falcão Carneiro, Fernando Gomes de Almeida, Nuno A. Cruz

    Published 2025-07-01
    “…Recent work introduced a variable structure depth controller for a sensor platform with a variable buoyancy module, resulting in a 22% reduction in energy consumption. …”
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    Article
  2. 242

    Price discovery and market efficiency of cardamom in India by A.N. Vijayakumar

    Published 2022-02-01
    “…Besides, this study did not find the role of cardamom futures contracts intended to serve the economic function of price discovery and price risk management. …”
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    Article
  3. 243

    Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling by Anik Anekawati, Purhadi, Mohammad Rofik

    Published 2025-10-01
    “…Therefore, this research developed a model that involved multivariate data, latent variables, and spatial data, specifically spatial autoregressive, in the form of a multivariate spatial autoregressive model that involves latent variables (MSAR-VLs). …”
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    Article
  4. 244

    Variable Structure Control and Its Ground Experimental Test for the Space Station Robot by Feilong Zhang, Bi Zhang, Bing Han, Danyang Qu, Xingang Zhao

    Published 2022-01-01
    “…To save cost and improve the efficiency of the test, this paper develops a plan in which controllers undergo preliminary testing in a 6-DOF industrial robot. …”
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    Article
  5. 245

    Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria by Bo Sun, Yongquan You, Zhiyong Zhang, Chao Li

    Published 2020-01-01
    “…For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. …”
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    Article
  6. 246

    Stochastic Characteristics and Optimal Control for a Stochastic Chemostat Model with Variable Yield by Rong Yan, Shulin Sun

    Published 2020-01-01
    “…In this paper, a stochastic chemostat model with variable yield and Contois growth function is investigated. …”
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  7. 247
  8. 248

    Age differences in the variability and distribution of sleep spindle and rapid eye movement densities. by Kevin R Peters, Laura B Ray, Stuart Fogel, Valerie Smith, Carlyle T Smith

    Published 2014-01-01
    “…Although age differences were observed in the degree of absolute variability (older adults had significantly larger variances than young adults for sleep efficiency and time spent awake after sleep onset), a similar pattern was also observed within the two age groups: the four sleep measures with the lowest degrees of relative variability were the same and included time spent in REM and Stage 2 sleep, total sleep time, and sleep efficiency. …”
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  9. 249

    Interannual variability in thermal state of the upper mixed layer in the Bering Sea in winter by V. A. Luchin

    Published 2023-10-01
    “…Series of annual mean fields of the mixed layer temperature in December-March were decomposed by applying the empirical orthogonal function (EOF); dynamics of the first two components of decomposition (described in sum 50.4 % of the initial fields variability) are analyzed. …”
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    Article
  10. 250

    A Home-Based Self-Powered Rehabilitation System With Variable Stiffness Mechanism by Ke Shi, Yingchen Gao, Maozeng Zhang, Lifeng Zhu, Aiguo Song

    Published 2025-01-01
    “…Then, the system’s functionality and efficacy are validated through experiments with twelve healthy subjects and ten stroke survivors. …”
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    Article
  11. 251

    Sparsity‐optimised farrow structure variable fractional delay filter for wideband array by Wenjing Zhou, Mingwei Shen, Min Xu, Guodong Han, Yudong Zhang

    Published 2023-06-01
    “…The established cost function is formulated as a parametric minimisation problem with multiple regularisation constraints, and solved by the modified three‐block alternating direction multiplier method (MTB‐ADMM), which is improved by introducing core variable correction items to ensure stable and fast convergence. …”
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    Article
  12. 252

    A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

    Published 2025-04-01
    “…By constructing a high-resolution regional sound speed field through WOA23 and historical SSP fusion, this method effectively mitigates spatiotemporal heterogeneity and seasonal variability. The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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    Article
  13. 253

    Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

    Published 2025-07-01
    “…The method of introducing a new hidden variable or approximating the lower bound is used to solve the problem of logistic functions without conjugate priors. …”
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    Article
  14. 254

    Exploring the impact of AI on employee self-competence performance key variables and outcomes by Anas Amayreh, Mohammad A. Ta’Amnha, Ihab K. Magableh, Maher H. Mahrouq, Salsabila Aisyah Alfaiza

    Published 2025-07-01
    “…Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. …”
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  15. 255

    Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

    Published 2025-05-01
    “…This work presents a comprehensive evaluation of four feed-forward artificial neural network (ANN) architectures—radial basis function (RBF), Bayesian regularized (BR), scaled conjugate gradient (SCG), and Levenberg–Marquardt (LM)—to predict UCS from three readily measured variables: water content, interconnected porosity, and real density. …”
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    Article
  16. 256

    Near-Infrared Electronically-Controlled Variable Attenuator for W-Band Frequency Range by Suren Gigoyan, Mohammad-Reza Nezhad-Ahmadi

    Published 2025-01-01
    “…This article presents the design, fabrication, and performance evaluation of a novel high-performance millimeter-wave (mm-wave) variable attenuator operating across the 75–110 GHz frequency band, controlled via near-infrared (NIR) illumination. …”
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  17. 257

    Geospatial analysis of soil property variability in cyclone-affected areas of southern Malawi by Jabulani Nyengere, Innocent Gomani, Isaac Tchuwa, Wilfred Kadewa, Agnes Mercy Hamisi, Chikondi Chisenga, Emmanuel Chinkaka, Weston Mwase, Precious Masuku, Harineck Tholo

    Published 2025-06-01
    “…The soil properties exhibited significant variability, as demonstrated by the coefficients of variation, with available phosphorus (P) showing the highest variability at 156.9%, followed by exchangeable potassium (K +) at 139.6% and electrical conductivity (EC) at 95.3%. …”
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  18. 258

    Frequency function and damping function in assessment of dynamic processes in mechanical oscillatory systems with symmetry by A. V. Eliseev

    Published 2020-12-01
    “…The study objective is to develop a method forevaluating properties of the mechanical oscillatory systems with account for viscous friction forces based on frequency functions and damping functions that depend on the so-called coefficient of connection forms, which is the ratio of characteristics of generalized coordinates.Materials and Methods. …”
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  19. 259

    Exploring the Differential Geometry of Reliability Function: Insights from Lifetime Weibull Distributions Under Neutrosophic Environment by Nada Mohammed Abbas, Ghazi Abdullah, Ahmed Hadi Hussain

    Published 2025-06-01
    “…Also, we discuss the same results in a neutrosophic environment, with neutrosophic variables and coefficients from the neutrosophic real ring R(I), where we get similar results of the original approach. …”
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  20. 260

    Blood Pressure Variability and Severity of Early Prognosis in Patients with Acute Pontine Infarction by Xinsheng Han, Gaocai Zhang, Ning Liu, Hongyang Zhang, Jianke Xu, Miao Han, Yun Zhang, Yan Zhang, Li Chen

    Published 2020-01-01
    “…Increased blood pressure (BP) variability may worsen the prognosis of stroke. This study aimed at investigating the association between BP variability and early functional prognosis in patients with pontine infarction. …”
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