Results 11 to 20 of about 227,595 (269)
A Bayesian Nonlinear Reduced Order Modeling Using Variational AutoEncoders
This paper presents a new nonlinear projection based model reduction using convolutional Variational AutoEncoders (VAEs). This framework is applied on transient incompressible flows.
Nissrine Akkari +3 more
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We considere and analyze the uniaxial phenomenological models of viscoelastic deformation based on fractional analogues of Scott Blair, Voigt, Maxwell, Kelvin and Zener rheological models.
Luiza G Ungarova
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In contour machining, contour error is a major factor affecting machining quality. In order to improve the performance of contour following, many control techniques based on real-time contour error estimation have been developed.
Li Bo, Wang Taiyong, Wang Peng
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Approximate Adder with Reduced Error [PDF]
A new approximate adder is proposed, which is suitable for FPGA-and ASIC-based implementations. Here, we consider an Artix-7 FPGA for the implementations using Vivado 2018.3. For 32-bit addition, the proposed approximate adder with an 8-bit least significant inaccurate sub-adder reports an improvement in the maximum frequency by 7.7% compared to the ...
Balasubramanian, Padmanabhan +2 more
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In modern digital communication systems, a high-order modulation and advanced channel coding are often jointly used to increase the spectral efficiency and coding gain.
Sung-Joon Park +2 more
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Approximate Quantum Error Correction
9 pages ...
Benjamin Schumacher +1 more
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Estimation of Prediction Error in Regression Air Quality Models
Combustion of energy fuels or organic waste is associated with the emission of harmful gases and aerosols into the atmosphere, which strongly affects air quality.
Szymon Hoffman
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On the dipole approximation with error estimates [PDF]
The dipole approximation is employed to describe interactions between atoms and radiation. It essentially consists of neglecting the spatial variation of the external field over the atom. Heuristically, this is justified by arguing that the wavelength is considerably larger than the atomic length scale, which holds under usual experimental conditions ...
Boßmann, Lea +2 more
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Machine learning–based robust trajectory tracking control for FSGR
Here, a robust adaptive trajectory tracking algorithm is proposed for free-form surface grinding robot (FSGR) in metal surface production line. Machine-learning method is used for robot dynamic approximation which is hard to obtain directly. Adaptive law
Lin Jia +5 more
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Approximation of the modified error function [PDF]
In this article, we obtain explicit approximations of the modified error function introduced in Cho, Sunderland. Journal of Heat Transfer 96-2 (1974), 214-217, as part of a Stefan problem with a temperature-dependent thermal conductivity. This function depends on a parameter $δ$, which is related to the thermal conductivity in the original phase-change
Andrea N. Ceretani +2 more
openaire +7 more sources

