Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Maher SalloumKhachik SargsyanReese JonesHabib N. NajmBert J. DebusscherePublished in: Multiscale Model. Simul. (2015)
Keyphrases
- sensor noise
- measurement noise
- measurement errors
- missing data
- noise level
- random noise
- monte carlo
- measurement error
- simulation models
- row column
- sampled data
- robust optimization
- image noise
- parametric models
- random sampling
- signal to noise ratio
- noisy data
- gaussian noise
- noisy environments
- low frequency
- noise reduction
- parameter space
- sample size
- low pass filtering
- image processing