So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Add a description, image, and links to the sliding-window-convolution-method topic page so that developers can more easily learn about it.

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

A windowed sinc filter outperforms a moving-average filter in the frequency domain. Figure 1. The ideal filter X(f) in the frequency domain has a gain of 1 and a cutoff frequency fC. This result is in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we describe the development of a new algorithm for the computation of ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

The piezometers used for this study are part of the network of the National Direction of Hydraulic of Mali (DNH-Mali) established for groundwater monitoring. The climate data have been collected from ...

Deep learning has revolutionized many sectors of industry and daily life, but as application scale increases, performing training and inference with large models on massive datasets is increasingly ...

Abstract: Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally-intensive parts of CNNs ...