Junyent Barbany, Miquel (Date of defense: 2021-10-15)
Optimal sequential decision making is a fundamental problem to many diverse fields. In recent years, Reinforcement Learning (RL) methods have experienced unprecedented success, largely enabled by the ...
Soto-Iglesias, David (Date of defense: 2016-09-13)
The development of novel technologies is allowing a complete description of the heart structure and function, including geometrical, myocardial tissue viability and electrical activation information. ...
Signorini, Matteo (Date of defense: 2015-12-10)
La Internet de las Cosas está avanzando lentamente debido a la falta de confianza en dispositivos que puedan interactuar de manera autónoma. Además, se requieren nuevos enfoques para mitigar o al menos ...
Martins Dias, Gabriel (Date of defense: 2016-10-28)
Predictions about the evolution of the Internet of Things (IoT) in the next years are optimistic. The number of interconnected devices will continue to grow exponentially, as well as the amount of ...
Barceló Vicens, Jaume (Date of defense: 2009-03-20)
Aquesta tesi suggereix usar un compte enrere determinista després de les transmissions exitoses en les xarxes d'àrea local sense fils. Com que les estacions que han transmès amb èxit en el seu darrer ...
Eladly, Ahmed Fayed (Date of defense: 2021-04-28)
This thesis was conducted within the framework of the eAXON project that is aimed at developing injectable wireless sub-millimetric single-channel addressable microstimulators based on volume conduction ...
Nikbakht Silab, Rasoul (Date of defense: 2021-03-17)
This thesis studies parametric optimization in cellular and cell-free networks, exploring data-based and expert-based paradigms. Power allocation and power control, which adjust the transmit power to ...
Rashid, Zulqarnain (Date of defense: 2016-01-11)
People with manipulative and locomotive disabilities represents a large fraction of the population classified as disabled, including the elder, injured and other health related issues. Wheelchairs have ...
Gulati, Sankalp (Date of defense: 2016-11-17)
Automatically describing contents of recorded music is crucial for interacting with large volumes of audio recordings, and for developing novel tools to facilitate music pedagogy. Melody is a fundamental ...
Barbieri, Francesco (Date of defense: 2018-01-25)
In this dissertation we propose algorithms for the analysis of social media texts, focusing on two particular aspects: irony and emojis. We propose novel automatic systems, based on machine learning ...