A computational intelligence analysis of G proteincoupled receptor sequinces for pharmacoproteomic applications 

Cárdenas Domínguez, Martha Ivón (Date of defense: 2017-09-18)

Arguably, drug research has contributed more to the progress of medicine during the past decades than any other scientific factor. One of the main areas of drug research is related to the analysis of proteins. The world ...

Conformance checking and diagnosis in process mining 

Muñoz Gama, Jorge (Date of defense: 2014-12-19)

In the last decades, the capability of information systems to generate and record overwhelming amounts of event data has experimented an exponential growth in several domains, and in particular in industrial scenarios. ...

Construction and technological development of immersive virtual reality for pain therapy 

Álvarez de la Campa Crespo, Mercè (Date of defense: 2023-06-29)

(English) Virtual reality (VR) allows not only to easily change the perceived scenario but also to control several factors associated with the sense of being in an embodied virtual avatar that would not be achievable in ...

Contribution to geometric constraint solving in cooperative engineering 

Vila Marta, Sebastià (Date of defense: 2003-12-01)

DA&AI supporting tools for gas turbine’s efficiency improvement: maintenance, operation modes and performance enhancement 

Castro Cros, Martí de (Date of defense: 2023-12-18)

(English) Digitalization has revolutionized many industries, including the power generation sector. The availability of a vast amount of data from various systems has transformed decision-making processes in Industry. ...

Data analysis through graph decomposition 

Piceno, Marie Ely (Date of defense: 2020-07-27)

This work is developed within the field of data mining and data visualization. Under the premise that many of the algorithms give as result huge amounts of data impossible to handle for the users, we work with the ...

Deep learning architectures applied to wind time series multi-step forecasting 

Manero Font, Jaume (Date of defense: 2020-07-14)

Forecasting is a critical task for the integration of wind-generated energy into electricity grids. Numerical weather models applied to wind prediction, work with grid sizes too large to reproduce all the local features ...

Definition and use of software requirement patterns in requirements engineering 

Palomares Bonache, Cristina (Date of defense: 2016-10-04)

The final quality of software products and services depends on the requirements stated in the Software Requirements Specifications (SRSs). However, some problems like ambiguity, incompleteness and inconsistency have been ...

Direct tree decomposition of geometric constraint graphs 

Tarrés Puertas, Marta Isabel (Date of defense: 2014-12-18)

The evolution of constraint based geometric models is tightly tied to parametric and feature-based Computer-Aided Design (CAD) systems. Since the introduction of parametric design by Pro/Engineer in the 1980's, most major ...

Document-level machine translation : ensuring translational consistency of non-local phenomena 

Martínez Garcia, Eva (Date of defense: 2019-12-19)

In this thesis, we study the automatic translation of documents by taking into account cross-sentence phenomena. This document-level information is typically ignored by most of the standard state-of-the-art Machine ...

Efficient approximate string matching techniques for sequence alignment 

Marco-Sola, Santiago (Date of defense: 2017-09-20)

One of the outstanding milestones achieved in recent years in the field of biotechnology research has been the development of high-throughput sequencing (HTS). Due to the fact that at the moment it is technically impossible ...

Enhancing detailed haptic relief for real-time interaction 

Theoktisto, Víctor (Date of defense: 2015-11-25)

The present document exposes a different approach for haptic rendering, defined as the simulation of force interactions to reproduce the sensation of surface relief in dense models. Current research shows open issues in ...

Enhancing scene text recognition with visual context information 

Sabir, Ahmed (Date of defense: 2020-11-10)

This thesis addresses the problem of improving text spotting systems, which aim to detect and recognize text in unrestricted images (e.g. a street sign, an advertisement, a bus destination, etc.). The goal is to improve ...

Exploiting word embeddings for modeling bilexical relations 

Madhyastha, Pranava Swaroop (Date of defense: 2017-07-25)

There has been an exponential surge of text data in the recent years. As a consequence, unsupervised methods that make use of this data have been steadily growing in the field of natural language processing (NLP). Word ...

Extending procrustes analysis : building multi-view 2-D models from 3-D human shape samples 

Pérez Sala, Xavier (Date of defense: 2015-04-29)

This dissertation formalizes the construction of multi-view 2D shape models from 3D data. We propose several extensions of the well-known Procrustes Analysis (PA) algorithm that allow modeling rigid and non-rigid transformations ...

A framework for navigation of autonomous characters in complex virtual environments 

Oliva Martínez, Ramon (Date of defense: 2016-11-28)

In order to create autonomous characters it is necessary to solve the problem of moving agents between two locations, at both the global and local navigation levels. Global navigation has two main components: the path ...

Gathering empirical evidence and building a business case for software reference architectures in industry 

Martínez-Fernández, Silverio (Date of defense: 2016-06-23)

Background: Software reference architectures are becoming widely adopted by organizations that need to support the design and maintenance of software applications of a shared domain. For organizations that plan to adopt ...

High-precision computation of uniform asymptotic expansions for special functions 

Navas Palencia, Guillermo (Date of defense: 2019-07-22)

In this dissertation, we investigate new methods to obtain uniform asymptotic expansions for the numerical evaluation of special functions to high-precision. We shall first present the theoretical and computational fundamental ...

Human-aware application of data science techniques 

Coma Puig, Bernat (Date of defense: 2022-03-02)

In recent years there has been an increase in the use of artificial intelligence and other data-based techniques to automate decision-making in companies, and discover new knowledge in research. In many cases, all this has ...

Human-smart rollator interaction for gait analysis and fall prevention using learning methods and the i-Walker 

Cortés Martínez, Atia (Date of defense: 2018-07-20)

The ability to walk is typically related to several bio-mechanical components that are involved in the gait cycle (or stride), including free mobility of joints, particularly in the legs; coordination of muscle activity ...