Ultrasonic level sensors for flowmetering of non-Newtonian fluids in open Venturi channels: Using data fusion based on Artificial Neural Network and Support Vector Machines. - Khim Chhantyal; Håkon Viumdal; Saba Mylvaganam; Geir Elseth (SAS, 2016)

Estimating viscosity of non-Newtonian fluids using support vector regression method: Rheological parameters of drilling fluids using data fusion. - Khim Chhantyal; Håkon Viumdal; Saba Mylvaganam; Geir Elseth (SAS, 2016)

Ultrasonic level scanning for monitoring mass flow of complex fluids in open channels - A novel sensor fusion approach using AI techniques. - Khim Chhantyal; Håkon Viumdal; Saba Mylvaganam (IEEE SENSORS, 2017)

Soft Sensing of Non-Newtonian Fluid Flow in Open Venturi Channel Using an Array of Ultrasonic Level Sensors - AI Models and Their Validations. - Khim Chhantyal; Håkon Viumdal; Saba Mylvaganam (Sensors, 2017)

Ensemble learning in the estimation of flow types and velocities of individual phases in multiphase flow using non-intrusive accelerometers' and process pressure data. - Ru Yan; Håkon Viumdal; Kjetil Fjalestad; Saba Mylvaganam (SAS, 2022)