In the present repository, the dataset along with the optimized pipelines (including the selected features and machin learning algorithms), proposed in the following paper, will (after the review process is completed) be provided.
Behzad Najafi, Keivan Ardam, Andrej Hanusovsky, Fabio Rinaldi,Luigi Pietro Maria Colombo, Machine Learning based Models for Pressure Drop Estimation ofTwo-phase Adiabatic Air-Water Flow in Micro-finned Tubes:Determination of the most promising dimensionless feature set, under-review in chemical Engineering Research and Design