Randomized clinical trials remain the gold standard for establishing a medication's effects, producing the evidence by which ...

Abstract: Seismic data interpolation is an important processing method for improving the quality of seismic data. Traditional interpolation methods often face limitations due to their dependence on ...

InterpolateR is one of the most efficient R packages for spatial interpolation. It leverages vectorized operations to maximize computational efficiency while maintaining high accuracy in interpolation ...

Abstract: This paper presents a comparison of four interpolation techniques for interpolation of spacecraft solar radiation data characteristics. As radiative characteristics are functions of ...

1) regularly sampled areas that do not cover every spatial location, 2) irregularly sampled areas at specific locations, 3) random areas throughout the area of study (Heywood et al., 2010). For these ...

https://mne.tools/stable/generated/mne.preprocessing.eyetracking.interpolate_blinks.html currently says: Interpolate eyetracking signals during blinks. This function ...

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.

The purpose of this paper is to investigate the spatial interpolation of rainfall variability with deterministic and geostatic inspections in the Prefecture of Kilkis (Greece). The precipitation data ...