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321
An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model
Published 2025-07-01“…Similar to twin parametric insensitive support vector regression (TPISVR), STPISVR constructs a pair of nonparallel parametric insensitive bound functions to indirectly determine the regression function. …”
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322
PRODUCTIVITY AND EFFICIENCY OF MAIZE (ZEA MAYS) FARMERS IN ADAMAWA STATE, NIGERIA
Published 2024-01-01“…Education and extension contact were statistically significant (p≤0.05) and increase technical efficiency among respondents. Furthermore, the stochastic cost function analysis indicated that 80.24% variations in allocative efficiencies were as a result of the variables included in the model. …”
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323
DANNET: deep attention neural network for efficient ear identification in biometrics
Published 2024-12-01“…This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. …”
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324
Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation
Published 2025-06-01“…Abstract We present a hybrid surf‐zone model that combines numerical simulations and statistical/machine learning techniques, enabling accurate calculations of nearshore wave and hydrodynamic parameters with high computational efficiency. The approach involves defining representative forcing conditions, carrying out numerical model (XBeach) simulations for these cases, and training machine learning models capable of predicting selected model output variables. …”
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325
Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles
Published 2025-01-01“…To ensure that the random field demonstrates general rotational anisotropy, the autocorrelation function was transformed through a coordinate system conversion before the decomposition of the autocorrelation coefficient matrix. …”
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326
Construction and analysis of one class of cryptographic functions
Published 2013-04-01“…A novel class of n+t -variable Boolean functions G (x,y) through adding t variables while concatenating t+ 1 Boolean functions (called basic function) was constructed and the Walsh spectrum and autocorrelation coefficient of G(x,y)were given.The relationship between G(x,y)and basic functions by Krawtchouk polynomial and Krawtchouk matrix was studied.Moreover,their cryptographic properties:correlation immunity,propagation and algebraic immunity were investigated.Specially,the detailed relationship between G (x,y) and basic functions when t= 2 was analyzed.In additional,a novel class of multioutput Boolean functions by generalizing the method was constructed and the general Walsh spectrum of the class of multioutput Boolean functions was proposed.Correlation immunity and algebraic immunity of the class of multioutput Boolean functions were analyzed.…”
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327
Construction and analysis of one class of cryptographic functions
Published 2013-04-01“…A novel class of n+t -variable Boolean functions G (x,y) through adding t variables while concatenating t+ 1 Boolean functions (called basic function) was constructed and the Walsh spectrum and autocorrelation coefficient of G(x,y)were given.The relationship between G(x,y)and basic functions by Krawtchouk polynomial and Krawtchouk matrix was studied.Moreover,their cryptographic properties:correlation immunity,propagation and algebraic immunity were investigated.Specially,the detailed relationship between G (x,y) and basic functions when t= 2 was analyzed.In additional,a novel class of multioutput Boolean functions by generalizing the method was constructed and the general Walsh spectrum of the class of multioutput Boolean functions was proposed.Correlation immunity and algebraic immunity of the class of multioutput Boolean functions were analyzed.…”
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328
Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning
Published 2025-05-01“…To overcome such an environment, in this study, an optimization flow for structural optimization is considered, and states, actions, and rewards appropriately representing design variables, constraint conditions, and objective functions are discussed. …”
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329
CFD-based optimization of dynamic cyclones with variable vortex length using GMDH artificial neural network
Published 2025-06-01“…In the second phase, data obtained from the numerical simulations is used to construct objective function models, focusing on minimizing pressure drop and maximizing collection efficiency. …”
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330
An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems
Published 2025-04-01“…By integrating an adjustment function into the constant-velocity reaching polynomial and designing an adaptive law, dynamic updating of the control law is achieved. …”
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331
Safety Performance Functions for Low-Volume Roads
Published 2011-12-01“…The research study presented here has been used to calibrate crash prediction models (CPMs) per kilometer per year. The coefficients of the CPMs are estimated using a non-linear multi-variable regression analysis utilizing the least – square method. …”
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332
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333
Efficiency of the Outpatient Diabetes Care System in Czechia: A Geodemographic Perspective
Published 2024-09-01“…The paper examines the intensity and structure of the use of health services and outlines the current functioning thereof in the context of diabetes care in Czechia. …”
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334
An innovative high-throughput genome releaser for rapid and efficient PCR screening
Published 2025-03-01“…Additionally, we developed software to support its automated functions. Our results demonstrated that the specially engineered 96-well plate and HTGR effectively squash fungal spores, releasing sufficient genomic DNA for PCR screening with 100% efficiency. …”
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335
Analyzing the influence of regulatory capture on environmental efficiency within institutional frameworks
Published 2025-07-01“…It utilizes provincial-level panel data from China and applies the Slack-Based Measure (SBM) model to assess environmental efficiency. Key institutional variables—including indicators of government quality and legal robustness—are incorporated to examine how they interact with and influence the effects of regulatory capture.ResultsFindings reveal that regulatory capture significantly hinders regional environmental efficiency. …”
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336
An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics
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337
Short light/dark cycles favour photosynthetic efficiency and growth in grapevines
Published 2025-07-01“…We evaluated photosynthetic efficiency, leaf growth, biomass production and partitioning, and resource use efficiency (water and light). …”
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338
Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India
Published 2025-06-01“…Abstract We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature. …”
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339
Using Wearable Inertial Sensors to Estimate Kinematic Parameters and Variability in the Table Tennis Topspin Forehand Stroke
Published 2020-01-01“…The large intraindividual variability in movement was probably functional (i.e., motor adjustment and injury avoidance). …”
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340