Universitat Politècnica de Catalunya: Recent submissions
Now showing items 201-220 of 5566
Private user-centric management of electronic services in smart communities
(English) Smart community services are reaching nearly every area of our daily life, often requiring private information from their users. The scope of all contributors to these services is to collaboratively share information ...
Efficient hardware acceleration of deep neural networks via arithmetic complexity reduction
(English) Over the past decade, significant progresses in the field of artificial intelligence have led to remarkable advancements in a wide range of technologies. Deep learning, a subfield of machine learning centered ...
Metodologia d'identificació de seqüències Web per a business intelligence basada en tècniques de mineria de dades
(English) The Internet has changed the way companies sell and users shop. Nowadays, having an online presence is an opportunity, while not doing so is a competitive disadvantage, and companies strive to appear as the first ...
Exploration of FDSOI back-biasing techniques to hinder cryptographic attacks based on leakage current
(English) Cryptography is the science that studies how to achieve secure communication between multiple parties. Under the assumption that any message transmitted is to be ultimately intercepted, the endeavors of cryptography ...
Molecular and cellular aspects of proprioceptive control in C. elegans
(English) Locomotion behavior is the output of the integrated clues by the nervous system along with proprioceptive regulation, which encompasses responses such as avoiding, feeding, and reproduction. Mechanosensation, the ...
Adapting floating-point precision to accelerate deep neural network training
(English) Deep Neural Networks (DNNs) have become ubiquitous in a wide range of application domains. Despite their success, training DNNs is an expensive task which has motivated the use of reduced numerical precision ...
Analysis of thin-film solidly mounted resonators for applications in harsh environments
(English) The sensing industry is constantly growing due to its demand in fields that require critical and essential information (data environment) for human safeness and quality of life. In recent years, designers, ...
Machine-learning to promote better practices of low-cost wearable devices in tremor diseases
(English) The most common tremor disorders worldwide are Parkinson's Disease and Essential Tremor. The gold standard for diagnosing these movement disorders is medical evaluation by neurologists, but its accuracy depends ...
Micromechanics of quaternary AICrSiN coatings on hard substrates
(English) AlCrSiN quaternary coatings are extensively utilized in the tool industry due to their outstanding mechanical performance as protective coatings. These coatings are formed by introducing elements of Al and Si to ...
Contributions to multi-purpose GNSS positioning to support multi-frequency and multi-constellation with high accuracy and integrity
(English) Global Navigation Satellite System (GNSS) have revolutionized location and timing technologies due to their low cost and wide availability. Initially, GNSS was limited to the american Global Positioning System ...
Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions
(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict complex geospatial and ...
Contributions to the design, development and evaluation of network processors for automotive zonal gateway controllers
(English) This PhD dissertation analyzes the evolution of vehicular networks and focuses on the main network processing platform integrated in them: the Gateway (GW). First, a thorough analysis of state of the art technologies ...
Understanding size-resolved dust emission from field measurements in Morocco
(English) Atmospheric mineral dust is composed of a variety of mineral particles exhibiting distinct composition, shape, and size. The wide range of diameters exhibited by dust particles, spanning more than three orders ...
Development of dynamic textiles based on shape memory polyurethane (SMPU) for applications in car seat upholstery
(English) In recent years, numerous studies have been carried out on functional textiles due to their ability to adapt and interact with the environment. In particular, special focus has been placed on dynamic textiles ...
Coercion-resistant cast-as-intended verifiability in electronic voting systems
(English) One of the most common fears regarding electronic voting is that a voting device will disregard the voter's intent and cast a different vote instead. An undetectable attack like that on a large scale will allow ...
Knowledge graph population from news streams
(English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge. Semantic ...
Partial oxidation of methane into syngas at low temperature
(English) Syngas (a mixture of H2 and CO) is a versatile feedstock that can be used to produce a wide range of chemicals and fuels. For that reason, there is a great interest to optimize and explore new routes for its ...
Dos crecimientos en una ciudad. Dos ciudades en crecimiento
(English) After more than a century of existence, a district considered marginal in my city is tragically disappearing without a trace. This inspired me to examine its development and destruction. Busan, the first industrial ...
Deep learning based methodologies applied to industrial electromechanical systems monitoring
(English) In recent years, there has been significant attention from both the academic and industry sectors towards condition-based maintenance of rotating systems. This attention stems from the high relevance of these ...
On hybrid positioning using non-semantic image information
(English) Hybrid or multi-sensor-based positioning has been a research topic actively investigated in the last decade. In this context, the possibility of using information extracted from imaging sensors, for positioning, ...
