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561
Confinement of charge carriers in gapped bilayer graphene within magnetic and electrostatic barriers
Published 2025-08-01“…For a multibarrier structure with $$N>2$$ , another forbidden zone appears for $$E>\Delta$$ , along with resonance effects and conductance oscillations as functions of N and E. A strong wave-vector filtering effect is observed for specific values of $$\Delta$$ and E. …”
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562
Machine Learning-Based Non-Invasive Prediction of Metabolic Dysfunction-Associated Steatohepatitis in Obese Patients: A Retrospective Study
Published 2025-04-01“…Various ML models, including K-nearest neighbors, linear support vector machine, radial basis function support vector machine, Gaussian process, random forest, multilayer perceptron, adaptive boosting, and naïve Bayes, were developed through cross-validation and hyperparameter tuning. …”
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563
Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City
Published 2020-06-01“…Whereas the CHAID tree in 0.76 cases made a correct prediction with 0.85 precision and predicted the occurrence of lightning rate to be 0.54, which is very similar to the real value 0.62, and among the network artificial models Support Vector Machine (SVM) model with maximum utility with prediction of 0.77 accuracy and precision of 0.85 and prediction of 0.60 probability of lightning occurrence have priority and superiority than Radial Basis Function (RBF) and Multi-Layer Perceptron (MLP) models. …”
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564
Evaluation of Healthcare Economics of OECD Countries: Multi-Objective Statistical Optimization Model
Published 2021-06-01“…The second objective function aimed to maximize the pcHE that was estimated to be at least $5,282.37 for the OECD members. …”
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565
Adaptive component crossover for differential evolution in solving single-objective optimization problems
Published 2025-01-01“…In this study we have proposed a novel Adaptive Component Crossover strategy for differential evolution, in which the crossover rate parameter is represented by a vector and its values are based on the behavior of the objective function on separate components. …”
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566
Zero-Inflated Rayleigh Dynamic Model for Non-Negative Signals
Published 2024-01-01“…It also models the mixture parameters related to the inflated (zero) values with a parsimonious dynamic structure. Furthermore, the analytical score vector was deduced and considered in the conditional maximum likelihood estimation of the introduced model parameters. …”
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567
Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework
Published 2024-12-01“…Using a single-cylinder diesel engine from POLAWAT ENGINE Company Limited, we evaluated different bio-hydrogenated diesel and biodiesel blends, optimizing their composition through the Reference Vector Guided Evolutionary Algorithm with a surrogate objective function via Generalized Regression Neural Networks. …”
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568
A Note on Equivalence of G-Cone Metric Spaces and G-Metric Spaces
Published 2023-06-01“…This paper contains the equivalence between tvs-G cone metric and G-metric using a scalarization function $\zeta_p$, defined over a locally convex Hausdorff topological vector space. …”
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569
Stress detection/assement in dairy cows by the determination of cortisol in hair by near-infrared (NIR), mid-infrared (MIR) and Raman spectroscopy
Published 2025-07-01“…The partial least squares (PLS) model yielded R2 CV values of 0.63, 0.62, and 0.52 and RMSECV values of 9.5, 9.2, and 9.1 for NIR, MIR, and Raman respectively. …”
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570
Innovative segmentation technique for aerial power lines via amplitude stretching transform
Published 2025-01-01“…For this reason, this paper designs a pure amplitude stretching kernel function to form a Fourier amplitude vector field and uses this amplitude vector field to implement the stretching transformation of the amplitude field of the aerial power line image, so that the angular field after the Fourier inverse transformation can better react to the spatial domain line targets, and finally, after the Relative Total Variation (RTV) processing, the power line can be well detected. …”
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571
Regional experience of implementing the state control risk-based model in vocational education: sociological survey analysis
Published 2022-03-01“…The control and supervisory state function reform by a new risk-oriented model implementing has two major complementary goals: reducing the administrative burden on business while enhancing the safety of legally protected values. …”
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572
NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region
Published 2024-12-01“…When the NDVI values exceed 0.4 in the second period, lower accuracy marks the NDVI estimation using the curve-fitting equations as a function of IN or coherence. …”
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573
Application of artificial neural networks in the prediction of sugarcane juice Pol
“…ABSTRACT Innovative techniques that seek to minimize the costs of production and the laboriousness of certain operations are one of the great challenges in the sugar-energy sector nowadays. Thus, the objective of the present study was to estimate the Pol values of sugarcane juice as a function of °Brix and wet cake weight (WCW) using artificial neural network (ANN) modeling. …”
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574
Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances
Published 2021-01-01“…The architecture of the adaptive neuro-fuzzy inference system (ANFIS) and used membership function are briefly explained. While varying mass parameters up to 20%, three robust neural-fuzzy datasets are formulated offline with the joint error vector and LQR control input. …”
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575
Efficient Approximation Procedure for Magnetization Characteristics Used in Performance Analysis of Highly Saturated Electrical Machines
Published 2024-12-01“…However, one polynomial function is not enough. We need three functions and another exponential function for magnetic field densities above around 2 T up to a value of relative permeability equal to 1. …”
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576
A study on rolling bearing fault diagnosis using RIME-VMD
Published 2025-02-01“…First, under various rolling bearing fault conditions, the RIME algorithm is employed to determine the optimal combination of decomposition components and penalty factors in VMD. Next, the kurtosis values of each decomposed Intrinsic Mode Function (IMF) are calculated, and the component with the most prominent fault features is selected for noise reduction through reconstruction. …”
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577
Coal Price Forecasting and Structural Analysis in China
Published 2016-01-01“…Based on the historical data of coal price and related factors such as port stocks, sales volume, futures prices, Producer Price Index (PPI), and crude oil price rate from November 2013 to June 2016, this study aims to forecast coal price using vector autoregression (VAR) model and portray the dynamic correlations between coal price and variables by the impulse response function and variance decomposition. …”
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578
Adjustment of angle error and tolerance allocation methods for RV reducers
Published 2025-07-01“…Finally, with the minimum total processing cost as the objective function, the angular tolerance allocation of key components was completed by using the genetic algorithm.ResultsThe research results prove the effectiveness of this method in improving the transmission accuracy and stability of RV reducers, but different accuracy weight values should be selected according to actual accuracy requirements to minimize costs.…”
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579
RATING OF THE REGIONS OF UKRAINE BY THE LEVEL OF COMPETITIVE ADVANTAGES OF INDUSTRY
Published 2018-09-01“…According to the results of the calculation, the grouping of regions by the level of efficiency and activity of the functioning of the industrial sector of the economy has been carried out. …”
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580
Prediction and evaluation of environmental quality for nursing sow buildings via multisource sensor information fusion
Published 2025-04-01“…This method can also function as an intelligent decision support tool for real-world applications, such as adaptive ventilation control, environmental stress mitigation, and early warning systems.…”
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