The electrical noise level of the hydrophone and its drift with the changed of the environment parameters

Peer Reviewe

Disdrometric data analysis and related microphysical processes

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutor: Joan Bech RustulletThe present paper consists in the analysis of Rain Drop Size Distribution (RDSD) measurements gathered by an optical based disdrometer. The main precipitation parameters such as accumulated amount, rain rate and median volume equivalent diameter for each episode are recalculated from corrected drop concentration per volume of air after applying a quality control fillter. We put special emphasis on how different microphysical processes related to drop formation and evolution can be associated to RDSD modifications

Balança de Kibble o de Watt

Postprint (published version

Unsupervised representation learning for medical imaging

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Santi Seguí Mesquida[en] The aim of this project is to achieve good image representations through the use of Deep Learning technologies which are part of a broader family of Artificial Intelligence methods named Machine Learning. These image representations are vectors of representative float numbers called embeddings that, for the project, are focused on the entire digestive aparatus for medical purposes. Triplet loss is used altogether with a state of the art Convolutional Neural Network, ResNet, in order to achieve this goal. A series of tests are done in order to compare different training approaches of the ResNet model, seeking for the best image representations in the domain of the digestive aparatus. It is shown that ImageNet transfer learning underperforms with respect to not applying transfer learning for really specialized domains. To conclude, it is found that unsupervised representation learning through the use of Triplet loss enables transfer learning for specialized image domains such as the digestive aparatus