Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because
their early stage infestations show no visible symptoms and can result in rapid and …

With the development of the sensor technology, complementary data of different sources can
be easily obtained for various applications. Despite the availability of adequate multisource …

Despite the success of deep learning algorithms in hyperspectral image (HSI) classification,
most deep learning models require a large amount of labeled data to optimize the numerous …

In recent years, convolutional neural networks (CNNs)-based methods achieve cracking
performance on hyperspectral image (HSI) classification tasks, due to its hierarchical …

Background Drug discovery processes, such as new drug development, drug synergy, and
drug repurposing, consume significant yearly resources. Computer-aided drug discovery …

As one of the most devastating disasters to pine forests, pine wilt disease (PWD) has caused
tremendous ecological and economic losses in China. An effective way to prevent large …

Recent years have witnessed the superiority of deep learning-based algorithms in the field
of HSI classification. However, a prerequisite for the favorable performance of these …

Can we automatically learn meaningful semantic feature representations when training
labels are absent? Several recent unsupervised deep learning approaches have attempted …

Multi-source remote sensing monitoring plays a crucial part in the ecological protection and
restoration of coastal wetlands. However, due to the inaccessible of wetlands environment …

Wheat flour (WF) is a common ingredient in staple foods. However, the presence of
intentional or unintentional adulterants makes it difficult to guarantee WF quality. Multi …