Automised Classification and Assessment of Alternative Fuels
The aim of the project is to investigate Machine Learning models for the characterisation of alternative fuels in the cement production. For this purpose, a public-accessible database (with fuel characteristics and images) is set-up and different machine learning models will be trained on that data, the algorithms will be tested on their robustness and suggestions for the classification of the fuel quality and its visualisation in the control room will be made.