Results 41 to 50 of about 1,946,882 (294)
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs [PDF]
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc.
A. R. Barron +38 more
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Lateral velocity measurement and error analysis
Most existing velocity measurement methods can only calculate the radial velocity by Doppler effect. Here, the authors study the method of measuring the lateral velocity.
Mengye Qiang, Yechao Bai, Xinggan Zhang
doaj +1 more source
In order to solve the problem of low accuracy and efficiency of soil moisture content prediction in tea plantations and improve the level of soil water content prediction, a soil moisture content prediction model for tea plantations based on the support ...
Ying Huang +4 more
doaj +1 more source
This study aims to create a monthly sales quantity budget by making use of the previous income data of an enterprise operating within the construction sector, which is considered the locomotive of the economy.
Ayşe Soy Temür, Şule Yıldız
doaj +1 more source
PTRNet: Global Feature and Local Feature Encoding for Point Cloud Registration
Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
Cuixia Li +4 more
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Adaptive Beamforming Method for MIMO Antenna Array with Constrained Mean Square Error
The Adaptive beam forming with Multikernel based Bayesian learning method beam forming on Uniform Linear Array (ULA) antennas for better localization. Undetermined source localization problem is solved using the Multikernel Sparse Bayesian Learning framework.
Mamatha MC, Dr Sateesh Kumar H C
openaire +1 more source
Presidential Office: Foreword [PDF]
We study the fundamental relationship between two relevant quantities in compressive sensing: the measurement rate, which characterizes the asymptotic behavior of the dimensions of the measurement matrix in terms of the ratio m/ log n (m being the number
Blasco-Serrano, Ricardo +4 more
core +3 more sources
On the Acceleration of the Multi-Level Monte Carlo Method [PDF]
The multi-level Monte Carlo method proposed by M. Giles (2008) approximates the expectation of some functionals applied to a stochastic process with optimal order of convergence for the mean-square error. In this paper, a modified multi-level Monte Carlo
Debrabant, Kristian, Rößler, Andreas
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A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems
The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance.
Jyoti Prasanna Patra +2 more
doaj +1 more source
A weighted reduced basis method for parabolic PDEs with random data
This work considers a weighted POD-greedy method to estimate statistical outputs parabolic PDE problems with parametrized random data. The key idea of weighted reduced basis methods is to weight the parameter-dependent error estimate according to a ...
B Haasdonk +15 more
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