Unsupervised anomaly detection for underwater gliders using generative adversarial networks

Deep Learning for Anomaly Detection

(2021) Guansong Pang et al.   ACM COMPUTING SURVEYS

Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer

(2021) Gabriel Michau et al.   KNOWLEDGE-BASED SYSTEMS

Training Bidirectional Generative Adversarial Networks with Hints

(2020) Uras Mutlu et al.   PATTERN RECOGNITION

Potential, challenges and future directions for deep learning in prognostics and health management applications

(2020) Olga Fink et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems

(2019) Andrea Borghesi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Weak thruster fault detection for autonomous underwater vehicle based on artificial immune and signal pre-processing

(2018) Feng Yao et al.   Advances in Mechanical Engineering

Detection of unanticipated faults for autonomous underwater vehicles using online topic models

(2017) Ben-Yair Raanan et al.   Journal of Field Robotics

Safety performance monitoring of autonomous marine systems

(2017) Christoph A. Thieme et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles

(2016) Yu-shan Sun et al.   International Journal of Naval Architecture and Ocean Engineering

Enhancing fault tolerance of autonomous mobile robots

(2015) D. Crestani et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Model selection approaches for non-linear system identification: a review

(2008) X. Hong et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE