In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

Due to the advantages of Synthetic Aperture Radar (SAR), the study of Automatic Target
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …

Over the last two decades, Artificial Intelligence (AI) approaches have been applied to
various applications of the smart grid, such as demand response, predictive maintenance …

This paper presents exploratory work looking into the effectiveness of attention mechanisms
(AMs) in improving the task of building segmentation based on convolutional neural network …

In this paper, a feedback training approach for efficiently dealing with distribution shift in
synthetic aperture radar target detection using a Bayesian convolutional neural network is …

Integrating an automatic target recognition (ATR) system into real-world applications
presents a challenge as it may frequently encounter new samples from unseen classes. To …

Although deep learning has achieved great success in aircraft detection from SAR imagery,
its blackbox behavior has been criticized for low comprehensibility and interpretability. Such …

eXplainable Artificial Intelligence (XAI) is a new trend of machine learning. Machine learning
models are used to predict or decide something, and they derive output based on a large …

Convolutional neural networks (CNNs) are widely used in image classification, but such
methods often require massive labeled data as learning resources. On one hand, synthetic …

Benefited from the latest advances in deep learning, convolutional neural network (CNN)-
based SAR target recognition has made an excellent breakthrough. However, the most …