Alberto Calo'
Deep neural networks for detection of solar corona mass ejections.
Rel. Enrico Magli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019
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Abstract
Deep neural networks for detection of solar corona mass ejections is a work in which you tried to classify the Coronal Mass Ejections. The CME is a significant release of sun matter and electromagnetic radiation during solar eruption. Because of the high energy that is sometimes carry to the Earth by the solar wind it is useful to classify these events in order to take precautions to safeguard astronauts health and satellites integrity around the Earth. Today this type of classification is done manually: the purpose of this thesis is to try to give a tool able to detect these events automatically by analyzing the solar photos taken by coronographs orbiting the Earth.
In order to achieve this aim, Deep Learning techniques have been used; in particular you tried to understand if you could handle that data with a space-time approach
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