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Development of a deep learning system for hummed melody identification for BertsoBot
(2020-10-09)
The system introduced in this work tries to solve the problem of melody
classification. The proposed approach is based on extracting the spectrogram of the
audio of each melody and then using deep supervised learning ...
Review of feature selection techniques in Parkinson's disease using OCT-imaging data
(2020-06-09)
Several spectral-domain optical coherence tomography studies (OCT) reported a decrease
on the macular region of the retina in Parkinson’s disease. Yet, the implication of retinal
thinning with visual disability is still ...
Development of artificial intelligence models for the enrichment and exploitation of geospatial data in the built environment
(2022-12-23)
Geospatial data treatment is an important task since it is a big part of big data. Nowadays, geospatial data exploitation is lacking in terms of artificial intelligence. In this work, we focus on the usage of a machine ...
A tableau method for the realizability and synthesis of reactive safety specifications
(2022-12-23)
Reactive systems are systems that continuously interact with the environment. In general, as they are critical systems, a failure or malfunction can result in serious consequences, such as loss of human lives or large ...
Evaluation and development of deep neural networks for super-resolution of microscopy and astrophysics images
(2022-12-23)
Due to physical constrains of an Electron Microscope, capturing high-resolution scans of a subject takes a very long time. On the other hand, running a Gravitational N-body simulation of hundreds of millions of particles, ...
Understanding the elementary landscape decomposition of the QAP and its effects on local search based algorithms
(2022-12-23)
Elementary landscapes are a special type of combinatorial landscapes that have some properties that make them particularly suitable for working with meta-heuristic algorithms, specially local search based methods. In most ...
Lithium-ion battery remaining useful life prediction
(2022-12-23)
Lithium-Ion Battery Remaining Useful Life Prediction work consists of an initial approach to battery life prediction using Severson dataset and data-driven LSTM-based RUL predictive methods.
Although the memory is ...
An analysis of the relevance of temporal information in time series classification
(2022-12-23)
In recent years, the interest in time series has increased considerably due to the vast amount of such data collected in a variety of fields. Time series are a particular type of data: they are sets of ordered observations. ...
Selection of critical nodes in drone airways graphs via graph neural networks
(2022-12-23)
This Master Thesis has two distinct parts. The first one mod-
els an application of Graph Neural Networks (GNN) for the identifica-
tion of critical nodes in graphs that correspond to traffic networks. We
call critical ...