Marine Fault Diagnosis with Self-supervised Learning Incorporating Out-of-distribution Detection
R Wang, T Cheng, R Yan - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
In marine machinery systems, the scarcity of labeled samples and the inability of the training
set to cover all mechanical conditions often hinder the effectiveness of data-driven fault …
set to cover all mechanical conditions often hinder the effectiveness of data-driven fault …
RGANFormer: Relativistic Generative Adversarial Transformer for Time-Series Signal Forecasting on Intelligent Vehicles
Time-series modelling (TSM) is a critical task for intelligent vehicles (IVs), covering areas like
fault detection, health monitoring, and inference of road user intentions. In this study, we …
fault detection, health monitoring, and inference of road user intentions. In this study, we …
Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach
High-density, unsignalized intersections have always been a bottleneck of efficiency and
safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic …
safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic …