2 Matroid Theory 3 This paper explores the connection between network coding and Matroid theory, 4 a branch of mathematics that generalizes linear algebra and graph theory. ABSTRACT | Networks derived from matroids have played a 7 fundamental role in proving theoretical results about the limits 8 of network coding. In this tutorial paper, we review many con-9 nections between matroids and netwo...

This paper carried out a classification study on the quality of different types apples. In order to achieve high-precision high-quality apples in various dimensions, shorten time, improve efficiency, and make it feasible for practical applications. proposes an automatic recognition model OB-Net (for apple appearance quality) based dual-branch structure. The consists two branches, O branch B bra...

The complex underwater environment and light scattering effect lead to severe degradation problems in images, such as color distortion, noise interference, loss of details. However, the images bring a significant challenge applications. To address detail we propose triple-branch dense block-based generative adversarial network (TDGAN) for quality enhancement images. A residual block is designed...

In recent years, the use of deep learning models has developed rapidly in field hyperspectral image (HSI) classification. However, most network cannot make full rich spatial-spectral features images, being disadvantaged by their complex and low classification accuracy for small-sample data. To address these problems, we present a lightweight multi-scale multi-branch hybrid convolutional The con...

Remote sensing has now been widely used in various fields, and the research on automatic land-cover segmentation methods of remote imagery is significant to development technology. Deep learning methods, which are developing rapidly field semantic segmentation, have applied segmentation. In this work, a novel deep network—Dual Encoder with Attention Network (DEANet) proposed. network, dual-bran...