Efficiently implementing remote sensing image classification with high spatial resolution
imagery can provide significant value in land use and land cover (LULC) classification. The …

Green environmental security refers to the state of human-environment interactions that
include reducing resource shortages, pollution, and biological dangers that can cause …

Deep neural networks provide good performance for image recognition, speech recognition,
text recognition, and pattern recognition. However, such networks are vulnerable to …

Deep models are highly susceptible to adversarial attacks. Such attacks are carefully crafted
imperceptible noises that can fool the network and can cause severe consequences when …

Flotation is an effective method widely used in coal preparation. However, the complexity of
the flotation process and the actual production site make the quality detection of flotation …

For attack detection in the smart grid, transfer learning is a promising solution to tackle data
distribution divergence and maintain performance when facing system and attack variations …

Deep learning technology has been used to develop improved license plate recognition
(LPR) systems. In particular, deep neural networks have brought significant improvements in …

We present an adversarial framework to craft perturbations that mislead classifiers by
accounting for the image content and the semantics of the labels. The proposed framework …

The detection of rotated objects is a meaningful and challenging research work. Although
the state-of-the-art deep learning models have feature invariance, especially convolutional …

The reconstruction of 3D face data is widely used in the fields of biometric recognition and
virtual reality. However, the rapid acquisition of 3D data is plagued by reconstruction …