Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

Novel electric aircraft designs coupled with intense efforts from academia, government and
industry led to a paradigm shift in urban transportation by introducing UAM. While UAM …

Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Anomaly detection is an active area of research with numerous methods and applications.
This survey reviews the state-of-the-art of data-driven anomaly detection techniques and …

With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

Abstract High Performance Computing (HPC) systems are complex machines with
heterogeneous components that can break or malfunction. Automated anomaly detection in …

The effectiveness of traditional traffic prediction methods, such as autoregressive or spatio-
temporal models, is often extremely limited when forecasting traffic dynamics in early …

To ensure the stable long-time operation of satellites, evaluate the satellite status, and
improve satellite maintenance efficiency, we propose an anomaly detection method based …

This work focuses on image anomaly detection by leveraging only normal images in the
training phase. Most previous methods tackle anomaly detection by reconstructing the input …

Credit card fraud detection is a very challenging problem because of the specific nature of
transaction data and the labeling process. The transaction data are peculiar because they …