Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

With the rise of artificial intelligence, deep learning is gradually applied to the field of
agriculture and plant science. However, the excellent performance of deep learning needs …

With the rapid development of face manipulation technology, it is difficult for human eyes to
distinguish fake face images. On the contrary, Convolutional Neural Network (CNN) …

Background Learning from a few samples to automatically recognize the plant leaf diseases
is an attractive and promising study to protect the agricultural yield and quality. The existing …

Learning from a few samples to automatically recognize the pests or plants is an attractive
and promising study with a low cost of data to protect the agricultural yield and quality …

Considering the efficiency and security of healthcare data processing, indiscriminate data
collection, annotation, and transmission are unwise. In this article, we propose the …

As one of the commonly used vehicles for underwater detection, underwater robots are
facing a series of problems. The real underwater environment is large-scale, complex, real …

The ongoing data explosion introduced unprecedented challenges to the information
security of communication networks. As images are one of the most commonly used …

Smart agriculture is inseparable from data gathering, analysis, and utilization. A high-quality
data improves the efficiency of intelligent algorithms and helps reduce the costs of data …

In underwater acoustic target recognition, deep learning methods have been proved to be
effective on recognizing original signal waveform. Previous methods often utilize large …