Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.

The following master thesis presents the data science approach for the development of the radiation monitors at CERN (the European Organization for Nuclear Research). A strong focus was put into the research of the possibility of the neural networks application. The goal is to create a model efficient enough to replace the solution used currently for the compensation of the femtoamperes current measurements. The additional optimization was made to comply with the requirements of a real–time system.