Publikasjoner
- Anomaly detection in multivariate time series of drilling data
- Privacy Re-Identification Attacks on Tabular GANs
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
- Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
- Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition
- Digital Twin for Wind Energy: Latest Updates From the NorthWind Project
- Physics-guided federated learning as an enabler for digital twins
- Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance
- Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
- Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters
Annen formidling
- Correlation-based outlier detection for ships’ in-service datasets
- Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
- Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
- Digital Twins in aquaculture: Taking Precision Farming to the next level
- Digital Twins in aquaculture: Taking Precision Farming to the next level
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
- Digital Twins in Wind Energy
- Data Integration Framework for Virtual Reality Enabled Digital Twins
- Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT)
- PoroTwin: A Digital Twin for a Meter-Scale Porous Medium
