150 citations · 242 across the 15 of their papers we have counts for
3 papers · 1 filter
Text-Informed Training Data Filtering for Enhanced Virtual Flow Meter Performance
Kristoffer Hjelmen Nesland, Bjarne Grimstad, Antorweep Chakravorty +1
In sectors such as energy, aquaculture and chemical processing, the effectiveness of both mechanistic and data-driven models is frequently limited by poor-quality training data, wh…
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
Bjarne Grimstad, Kristian Løvland, Lars S. Imsland +1
In many industrial processes, an apparent lack of data limits the development of data-driven soft sensors. There are, however, often opportunities to learn stronger models by being…
Multi-task and few-shot learning in virtual flow metering
Kristian Løvland, Bjarne Grimstad, Lars S. Imsland
Recent literature has explored various ways to improve soft sensors by utilizing learning algorithms with transferability. A performance gain is generally attained when knowledge i…