Results 11 to 20 of about 2,460,018 (219)
Robust train motion model calibration based on M-estimation [PDF]
, 2023 Train motion model calibration is crucial to ensure the accuracy and performance of any railway algorithm that requires reproducing and predicting train dynamics. The calibration must be robust against measurement outliers and missing data. However, such
Alex Cunillera (17121811) +3 more
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Ensemble Estimators for Multivariate Entropy Estimation [PDF]
IEEE Transactions on Information Theory, 2013 version 3: correction of minor typos from version ...
Kumar Sricharan +2 more
openaire +3 more sources
An Agent-Based Crop Model Framework for Heterogeneous Soils
Agronomy, 2021 Climate change and the efficient use of freshwater for irrigation pose a challenge for sustainable agriculture. Traditionally, the prediction of agricultural production is carried out through crop-growth models and historical records of the climatic ...
Jorge Lopez-Jimenez +2 more
doaj +1 more source
Pan-Sharpening Based on Panchromatic Colorization Using WorldView-2
IEEE Access, 2021 In order to overcome the lack of the multispectral image (MS) and adequately preserve the spatial information of panchromatic (PAN) image and the spectral information of MS image, this study proposes a method which adds the spectral information of the ...
Zhangxi Xiong +3 more
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Pan-Sharpening Based on Convolutional Neural Network by Using the Loss Function With No-Reference
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In order to preserve the spatial and spectral information of the original panchromatic and multispectral images, this article designs a loss function suitable for pan-sharpening and a four-layer convolutional neural network that could adequately extract ...
Zhangxi Xiong +3 more
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Introducing gradient severe shot peening as a novel mechanical surface treatment
Scientific Reports, 2021 Shot peening is widely used for improving mechanical properties especially fatigue behavior of metallic components by inducing surface hardening, compressive residual stresses and surface grain refinement.
Erfan Maleki +5 more
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A Class of Estimators for Estimating the Variance of the Ratio Estimator
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004 Summary: We have proposed a class of estimators for the variance of the ratio estimator which includes two standard estimators \(V_0\), \(V_2\) and the estimators \(V_H\) and \(V_3\) suggested by \textit{R. M. Royall} and \textit{K. R. Eberhardt} [Sankya, Ser. C 37, 43--52 (1975; Zbl 0335.62007)] and \textit{C. F.
Upadhyaya, Lakshmi N. +2 more
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EXTENDED KALMAN FILTER ESTIMATION OF HUMAN ARM CONFIGURATION [PDF]
, 2022 openThe Kalman Filter (KF) is a mathematical tool well suited for an algorithmic implementation that estimates the state of a linear dynamic system by exploiting the knowledge of the system’s dynamics, its statistics and a set of measurements.
VENCATO, GIOEL ADRIANO MARIA
core
Computational Journal of Mathematical and Statistical Sciences, 2023 Three parameters Birnbaum-Saunders, BS (3P), distribution is an important statistical model which is useable in the fields of both pure and applied sciences.
Mohammad Shakil +7 more
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Low-resolution human pose estimation [PDF]
, 2022 Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still under-studied. To fill this gap, we start with investigating existing methods
Ge, Shuzhi +3 more
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