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1081
Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images
Published 2024-08-01“…The selected model shows the relationship between the amount of desert pavement and the Greenness and Brightness variables, with a correlation coefficient of 0.61 and a standard error of 23.2. …”
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1082
Calibration of Low-Cost Capacitive Soil Moisture Sensors for Irrigation Management Applications
Published 2025-01-01“…The results showed that with higher soil moisture contents (above 30%), the sensor-to-sensor variability becomes significant, with a coefficient of variation (CV) ranging between 10 and 16%; meanwhile, in lower soil moisture contents, the CV ranged between 6.5 and 10.3%, implying that it is more consistent in lower moisture content within this soil condition. …”
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1083
Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach
Published 2025-01-01“…In recent years, the use of machine learning techniques (ML) has become widespread for analysing the effects of operational factors on anaerobic digestion efficiency. Among these, Support Vector Regression (SVR) with a Radial Basis Function (RBF) kernel has been used to predict biogas yield based on diverse operating parameters. …”
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1084
Patients' satisfaction, expectation, care, and maintenance of fixed prosthesis
Published 2019-01-01“…Descriptive statistics and Spearman rank correlation coefficient tests were undertaken between the examined variables. …”
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1085
Associations between patient characteristics and five-year trajectories of anticholinergic drug burden in older adults in German primary care: a prospective observational cohort st...
Published 2025-06-01“…Independent variables included age, sex, education (according to CASMIN), depressiveness (GDS), cognitive function (LDST), quality of life (EQ5D-3L) and the number of diseases weighted by severity. …”
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1086
Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks
Published 2025-01-01“…One of the critical innovations within this design is a class of trainable activation functions that eliminate the need for traditional weight parameters, thereby providing scalable and computationally efficient solutions. …”
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1087
Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction
Published 2024-12-01“…Specifically, the offsets to the base model are modeled using nonlinear functions with variable coefficients to compensate saturation and core loss effect, which can achieve better accuracy without changing the model structure. …”
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1088
Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality
Published 2025-02-01“…Subsequently, the recovery coefficient (RC), contrast recovery coefficient (CRC), contrast-to-noise ratio (CNR), percent background variability (PBV), background coefficient of variation (BCV), and residual error (RE) of the lung insert at different image planes were calculated within the phantom. …”
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1089
Replacing GRACE/GRACE‐FO C30 With Satellite Laser Ranging: Impacts on Antarctic Ice Sheet Mass Change
Published 2020-02-01“…The C30 coefficient, which has a large impact on the recovered Antarctic Ice Sheet mass changes, is shown here to be poorly observed by GRACE/GRACE‐FO when either mission is operating without two fully functional accelerometers. …”
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1090
A New Multi-Parametric MRI-Based Scoring System for Degenerative Cervical Myelopathy: The Severity on Imaging Myelopathy Score (SIMS)
Published 2025-05-01“…<b>Background/Objectives:</b> Degenerative cervical myelopathy (DCM) is the leading cause of functional disabilities of spinal origin in people over 50 years old. …”
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1091
Fast 3D localization of nano-objects in wide-field interferometric scattering microscopy via vectorial diffraction model-derived analytical fitting
Published 2025-05-01“…The simplified analytic function includes a quadratically scaling amplitude term and a linearly scaling phase term, both of which change with the nano-object’s axial position. …”
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1092
Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data
Published 2024-12-01“…We challenge peak feature extraction in the situation where only the peak function profile is known a priori, without knowledge of the measurement material or crystal structure factor. …”
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1093
The Effect of Rural Guide Plan on Objective Quality of Life among Rural Communities in Fariman County
Published 2016-12-01“…According to the results of Pearson's correlation tests, the findings of present study showed a significant and strong correlation between implementation of rural guide plan and the mental facet of life quality by a 0.75 correlation coefficient, so that rural guide plan explained 57% of the variation of dependent variable, and among guide plan dimensions the changing environmental rural affected the objective improvement of life quality of villagers by 29 percent. …”
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1094
A Comprehensive Performance Evaluation Method Based on Dynamic Weight Analytic Hierarchy Process for In-Loop Automatic Emergency Braking System in Intelligent Connected Vehicles
Published 2025-05-01“…At the criterion level, a bivariate variable–weight function, incorporating the vehicle speed and road surface adhesion coefficient, was developed to enable the dynamic coupling modeling of road environment parameters. …”
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1095
Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment
Published 2018-01-01“…The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function. …”
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1096
Pareto Optimal Solutions for Stochastic Dynamic Programming Problems via Monte Carlo Simulation
Published 2013-01-01“…Instead of using the expected values of the objective function, the randomness nature of the decision variables is kept along the process, while Pareto fronts weighted by all quantiles of the objective function are determined. …”
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1097
同轴全铰链双输出脉冲发生机构尺度综合与优化
Published 2009-01-01“…In order to enhance the efficiency,stability and simplify the structure of the mechanism,the dimension synthesis of the full hinge coaxial two-output function generator is performed by using group-synthesis scheme and regarding the six-bar mechanism as the parallel mechanism of a set of basic four-bar mechanism and a set of equivalent four-bar mechanism.Firstly,a basic four-bar mechanism synthetic model is established and solved based on two position synthesis and equal instantaneous transmission ratio.Then the dimensional parameters of an equivalent four-bar mechanism(a five-bar loop) is solved by using equivalent principle of a variable link-length four-bar mechanism based on the basic four-bar mechanism.By this scheme,the dimensional synthesis of high order of motion parameter can be solved with good results,and the results show that the pulse data of the full hinge coaxial two-output function generator is only six percent.…”
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1098
Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model
Published 2024-11-01“…Extensive qualitative and quantitative experiments confirm that the UAV active light source system based on light intensity matching proposed in this paper effectively enhances the effectiveness and robustness of vision-based tracking for multi-UAVs, particularly in complex and variable environments. This research provides an efficient and computationally effective solution for vision-based multi-UAV systems, further enhancing the visual tracking capabilities of multi-UAVs under complex conditions.…”
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1099
DC Performance Variations of SOI FinFETs with Different Silicide Thickness
Published 2018-01-01“…DC parameters including threshold voltage, low-field-mobility-related coefficient, and parasitic resistance are extracted from Y-function method for the comparison of DC performance and variability, and the correlation analysis. …”
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1100
A Predictive Model for Estimating Reservoir Impounding Time Based on the Net Inflow and Storage Volume
Published 2025-06-01“…By using the base equation of linear regression: Ln(D)=m×Ln(S)+n×Ln(Inet) and based on the analysis result of 28 combinations, there is selected the combination with the best determination coefficient (R2) that is 0.99 with m = 1.047 and n = -1.08807. …”
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