Serra Pagès, Albert (Date of defense: 2016-02-05)
Els objectius principals d'aquesta tesis són l'avaluació del rendiment a nivell d'enllaç i l'estudi de l'abstracció de l'enllaç pel LTE/LTE-Advanced DL. S’ha desenvolupat un simulador del nivell d'enllaç ...
Fernández Aymerich, Ismael (Date of defense: 2016-01-25)
There is a lack on ocean dynamics understanding, and that lead oceanographers to the need of acquiring more reliable data to study ocean characteristics. Oceanographic measurements are difficult and ...
Salvador, Amaia (Date of defense: 2019-06-27)
In the past decade, deep neural networks have revolutionized computer vision. High performing deep neural architectures trained for visual recognition tasks have pushed the field towards methods relying ...
Pons Freixes, Sergi (Date of defense: 2016-01-28)
Water is the most important resource for living on planet Earth, covering more than 70% of its surface. The oceans represent more than 97% of the planet total water and they are where more than the 99.5% ...
Tseliou, Georgia (Date of defense: 2019-07-17)
The complexity of operation and management of emerging cellular networks significantly increases, as they evolve to correspond to increasing QoS needs, data rates and diversity of offered services. Thus ...
Ventura Royo, Carles (Date of defense: 2016-07-08)
The first part of this dissertation focuses on an analysis of the spatial context in semantic image segmentation. First, we review how spatial context has been tackled in the literature by local features ...
Hu, Zhongbo (Date of defense: 2019-12-19)
lnSAR has been proved its unprecedented ability and merits of monitoring ground deformation on large scale with centimeter to millimeter scale accuracy. However, several factors affect the reliability ...
Yam Ontiveros, Luis Eduardo (Date of defense: 2016-09-21)
Over the last decades, environmental and socio-economic factors have generated interest on the observation of the ocean. Thus, the monitoring of maritime human activity has become crucial for the ...
Schulz, Henrik (Date of defense: 2017-03-02)
The transcription of spontaneous speech still poses a challenge to state-of-the-art methods for automatic speech recognition. The present thesis describes the comprehensive development of a large ...
Ghahabi Esfahani, Omid (Date of defense: 2018-05-29)
Over the last few years, i-vectors have been the state-of-the-art technique in speaker and language recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors ...