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- Recency-Weighted Temporally-Segmented Ensemble for Time Series Modeling Read the publication
- Explanations for trustworthy AI in critical infrastructure: A case from wastewater treatment in Norway Read the publication
- Derivative-free discrete gradient methods Read the publication
- Application of Optimization Algorithm on Parameters of an Empirical VIV Prediction Tool
- Analysis of full-scale riser responses in field conditions based on Gaussian mixture model Read the publication
- Data quality issues for vibration sensors: a case study in ferrosilicon production Read the publication
Other
- Pseudo-Hamiltonian Neural Networks for Learning (2+1)-Dimensional Partial Differential Equations
- Structure-preserving machine learning for physical systems
- Equinor: - Harspart 2 milliarder ved å bruke kunstig intelligens
- Structure-preserving machine learning for physical systems
- Det neste store steget for KI i industrien
- Innen industri er vi langt unna en KI-revolusjon
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- Learning PDEs with pseudo-Hamiltonian neural networks
- Learning separable PDE models with pseudo-Hamiltonian neural networks
- 600 mrd til Forsvaret og forsker advarer oss om strømsluket AI