In precision agriculture (PA), the evaluation of soil spatial variability to optimize crop management requires dense sampling. This costly activity often results in sparser sampling grids and may ...

Thank you for open-sourcing such a solid and impressive piece of work — it has been extremely helpful for our research. I have a question regarding the deployment of your model on real robots. As ...

Our Methods Groups provide policy advice and focus on developing the methods used to produce Cochrane reviews. Over the past year they’ve been working hard on activities from writing papers on ...

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 ...

In this work, three implementation options for the ghost cell immersed boundary method are compared. These options are alternatives to a rather common implementation of the method that is susceptible ...

In case we have a series that ends (or starts) with null values, both linear and nearest interpolation will not be able to fill these values. There could be a new interpolation named "nearest non-null ...

In imaging, interpolation is a mathematical operation that is used to perceive a coloured image as seen in the real world. Interpolation also drives the advanced image processing capabilities of ISPs.

Computational fluid dynamics (CFD) has become an integral part of engineering decision-making, providing a deeper understanding of how fluids behave in various scenarios, from the high skies in ...

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

Video frame interpolation (VFI) is an open problem in generative video research. The challenge is to generate intermediate frames between two existing frames in a video sequence. Click to play. The ...