Smoothing splines with generalized cross-validation parameter selection (GCV-spline) provide a method to find an optimal smoother for an fMRI time series. The purpose of this study was to compare theâ€¦ (More)

a r t i c l e i n f o Catchment scale hydrological models are critical decision support tools for water resources management and environment remediation. However, the reliability of hydrologicalâ€¦ (More)

[1] Sequential data assimilation methods, such as the ensemble Kalman filter (EnKF), provide a general framework to account for various uncertainties in hydrologic modeling, simultaneously estimatingâ€¦ (More)

We propose a new method for the T1-weighted magnetic resonance image (MRI) segmentation. Thin plate splines are fitted to overlapping blocks of an image slice and thresholds are found. The knots andâ€¦ (More)

The objective of this letter is to construct two classes of cyclic codes over <inline-formula> <tex-math notation="LaTeX">$F_{p}$ </tex-math></inline-formula> with few weights, where <inline-formula>â€¦ (More)

Linear parametric regression models of fMRI time series have correlated residuals. One approach to address this problem is to condition the autocorrelation structure by temporal smoothing. Smoothingâ€¦ (More)

Linear parametric regression models of fMRI time series have correlated residuals. One approach to address this problem is to condition the autocorrelation structure by temporal smoothing. Smoothingâ€¦ (More)