Publikasjoner
- Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions
- Machine Learning for enhancing Wind Field Resolution in Complex Terrain
- CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
- Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine
- Hybrid Analytics and Modellling Applications in Fluid Flow: Case Study - Wind Energy, Drilling, Greenhouse and Urban City.
- Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA
- Digital Twinning of Autonomous Systems
- An environmental disturbance observer framework for autonomous surface vessels
- Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions Les publikasjonen
- Deep learning assisted physics-based modeling of aluminum extraction process