Publikasjoner
- Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control Les publikasjonen
- Resource-constrained dynamic planning and model-free control in turbulent urban environments Les publikasjonen
- Unsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power Plants
- Least‐Squares Projected Models for Non‐Intrusive Affinization of Reduced Basis Methods Les publikasjonen
- Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection
- Digital Twin Knowledge Distillation for Federated Semi-Supervised Industrial IoT DDoS Detection
- Digital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoT
- Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters
- Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels Les publikasjonen
- Multi-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integration Les publikasjonen
Annen formidling
- Online Parameter Calibration in Drilling Hydraulics Model
- Enabling Technologies for Digital Twins in Wind Energy Les publikasjonen
- Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
- Digital Twins in aquaculture: Taking Precision Farming to the next level
- Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
- Digital Twins in Wind Energy
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
- Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT)
- Hybrid Analytics and Modellling Applications in Fluid Flow: Case Study - Wind Energy, Drilling, Greenhouse and Urban City.
- Digital Twinning of Autonomous Systems