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.
Keivan Ardam, Behzad Najafi, Andrea Lucchini, Fabio Rinaldi,Luigi Pietro Maria Colombo, Machine Learning based Pressure Drop Estimation of Evaporating R134a Flow in Micro-finTubes: Investigation of the Optimal Dimensionless Feature Set, under-review in Int. J. of Refrigeration