Publikasjoner
- Digital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoT
- A differential evolution based approach for short-term predictive maintenance optimization of an offshore wind turbine
- Digital Twin Knowledge Distillation for Federated Semi-Supervised Industrial IoT DDoS Detection
- Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control
- A data-driven building thermal zoning algorithm for digital twin-enabled advanced control
- Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection
- Multi-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integration
- Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
- Digital Twin for Wind Energy: Latest Updates From the NorthWind Project
- Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection
Annen formidling
- 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
- 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
- Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness
- PoroTwin: A Digital Twin for a Meter-Scale Porous Media