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Smooth Muscle Model For Functional Electrical Stimulation Applications
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007We present a new model of smooth muscle that can be used to simulate the effect of Functional Electrical Stimulation (FES). It is composed of a set of differential equations based on the physiological reality so that parameter's values are meaningful and can be used for quantitative and objective evaluation of the muscle state.
Laforet, Jeremy, Guiraud, David
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Generalized born model with a simple smoothing function
Journal of Computational Chemistry, 2003AbstractBased on recent developments in generalized Born (GB) theory that employ rapid volume integration schemes (M. S. Lee, F. R. Salabury, Jr., and C. L. Brooks III, J Chem Phys 2002, 116, 10606) we have recast the calculation of the self‐electrostatic solvation energy to utilize a simple smoothing function at the dielectric boundary. The present GB
Wonpil, Im +2 more
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A Piecewise Function Smooth Strength Envelope Model
Applied Mechanics and Materials, 2012The method of trigonometric series is one of widely used methods for calculating artificial ground motion. But using this method the speed of time, it was found that the zero line must exist the phenomenon of drift. This text fore person the foundation of the research up, a kind of more perfect model of differentiable nonsingular strength envelope ...
Lei Yu Zhang +3 more
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Smooth and time-optimal S-curve trajectory planning for automated robots and machines
Mechanism and Machine Theory, 2019In this paper, a smooth and time-optimal S-curve trajectory planning method is proposed to meet the requirements of high-speed and ultra-precision operation for robotic manipulators in modern industrial applications.
Yi Fang +5 more
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Switching state-space models Likelihood function, filtering and smoothing
Journal of Statistical Planning and Inference, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Billio, Monica, Monfort, Alain
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Smoothed quantile regression for partially functional linear models in high dimensions
Biometrical Journal, 2023AbstractPractitioners of current data analysis are regularly confronted with the situation where the heavy‐tailed skewed response is related to both multiple functional predictors and high‐dimensional scalar covariates. We propose a new class of partially functional penalized convolution‐type smoothed quantile regression to characterize the conditional
Zhihao Wang +3 more
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Smooth functional tempering for nonlinear differential equation models
Statistics and Computing, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Campbell, David, Steele, Russell J.
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Additive models and many smooth univariate functions
2011Additive models build a nonparametric extension of linear models and as such, they exhibit a substantial degree of flexibility. While the most important effects may still be detected by a linear model, substantial improvements are potentially possible by using the more flexible additive model class.
Peter Bühlmann, Sara van de Geer
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Bias-corrected smoothed score function for single-index models
Metrika, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Qiang, Lin, Lu, Zhu, Lixing
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VAD Based on Kernel Smoothed Function of EGARCH Models
Wireless Personal Communications, 2013An algorithm for a voice activity detector (VAD) is proposed. It is based on the exponential generalized autoregressive conditional heteroscedasticity (EGARCH) filter for generalized hyperbolic (GH), Gaussian random variables, adaptive threshold values and autocorrelation coefficients.
Usoph Hamdi Salemi +2 more
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