Data mining for fire classification and prediction from LIB systems
Reference persons DAVIDE PAPURELLO
Thesis type SIMULATION
Description The increasing use of LIB systems requires a critical and detailed investigation of fire scenarios. The approach using data mining techniques aims to classify the various fire scenarios, considering experimental studies, with the ultimate goal of being able to predict the heat release rate (HRR).
It is also possible, if the work is of good quality, to proceed to scientific publication.
Required skills Critical analysis and approach to the use of data mining techniques, basic knowledge of matlab
Deadline 22/03/2024 PROPONI LA TUA CANDIDATURA