"Development of a framework for detecting and diagnosing faults in chemical systems based on deep learning: from data exploration to monitoring via graphical interface" (PhD). Candidate: Ana Claudia Oliveira e Souza. Advisor: professor Flavio Vasconcelos da Silva. March 7, 2023, at 9 am, in the FEQ thesis defense room.
Development of a framework for detecting and diagnosing faults in chemical systems based on deep learning: from data exploration to monitoring via graphical interface
