An idea from topology explains why you can never get rid of your cowlicks—and, oddly enough, it’s critical in nuclear fusion ...

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

2024/09/25 Update：The code is now open, welcome to ask questions in the issue, we will try our best to solve errors and doubts 2024/09/26 Update: Pre-trained ...

Physicist Richard Feynman turned a lunch dilemma into a math problem. Researchers finally cracked his notes and found people ...

Abstract: Change detection (CD) is an important task in remote sensing image processing. The main research goal is to identify whether the target area has changed. Recently, the rise of deep learning ...

Abstract: Many imaging applications require the implementation of space-varying convolution for accurate restoration and reconstruction of images. Here, we use the term space-varying convolution to ...

This paper examines the conditions for the existence and nonexistence of positive solutions to a class of nonlinear Riemann-Liouville fractional boundary value problems of order α+2n, where α∈(m−1,m] ...

The following example walks through the steps to implement Fully-Convolutional Networks for Image Segmentation on the Oxford-IIIT Pets dataset. The model was proposed in the paper, Fully Convolutional ...