Universitat Politècnica de Catalunya: Enviaments recents
Ara mostrant els elements 741-760 de 6070
Clinical evaluation towards the development of a lower limb exoskeleton for people with spinal cord injury: from gait biomechanics to motor learning
(English) People with spinal cord injury (SCI) may suffer lifelong sequels that influence every aspect of their lives, including motor and/or sensory impairment, difficulty breathing and/or swallowing, bladder/bowel weakness, ...
Quick assessment through analytical solutions of induced seismicity in geo-energy applications
(English) Understanding the triggering mechanisms of induced seismicity remains one of the most critical challenges in geo-energy applications. This Thesis aims at assessing (1) fault stability and induced seismicity ...
Bioactive ion-releasing platforms for regenerative medicine applications
(English) One of the most exploited tissue-engineering-based strategies nowadays is to use scaffolds that allow local stimulation of the targeted tissues, increasing therapy effectiveness while reducing toxicity. Therefore, ...
Spatio-temporal quality metrics for satellite SAR interferometric data
(English) The availability of RADAR images for monitoring Earth’s surface and its changes over time prompt the development of several interferometric SAR (InSAR) algorithms and methodologies. The Multi-temporal InSAR ...
High-performance computing fluid-structure interaction model of bioprosthetic aortic valve replacements
(English) Computational modeling and simulation (CM&S) provides a powerful cost- and time-efficient tool to access detailed mechanistic information of biomedical problems, which is not accessible in either clinical imaging ...
Converged RAN/MEC slicing in beyond 5G (B5G) networks
(English) The main objective of this thesis is to propose solutions for implementing dynamic RAN slicing and Functional Split (FS) along with MEC placements in 5G/B5G. In particular, this thesis is divided into three parts. ...
Surgical subtask automation for intraluminal procedures using deep reinforcement learning
(English) Intraluminal procedures have opened up a new sub-field of minimally invasive surgery that use flexible instruments to navigate through complex luminal structures of the body, resulting in reduced invasiveness and ...
Real-time solutions of parametric thermo-hydro-mechanical problems with proper generalized decomposition
(English) The Proper Generalized Decomposition (PGD) is a mathematical framework belonging to the Model Order Reduction (MOR) class of techniques. To the best of the author's knowledge, this methodology has not been applied ...
Obtaining, characterizing and studying the in vitro bioavailability of different cation complexations for food fortification
(English) Although mineral chelates have been produced for more than 70 years, neither production methods nor optimum conditions are well specified. The solid evidence that the complexes are true chelates is still missing. ...
Machine learning techniques for adaptive polynomial and neural network digital predistorters
(English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...
Polymer blends based on postconsumer waste of opaque poly(ethylene terephthalate) and polypropylene
(English) In recent years, new white and opaque PET bottles (PET-O) have appeared and are used for packaging dairy products. These bottles contain titanium dioxide (TiO2) particles to prevent deterioration of the packaged ...
Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures
(English) The convergence of High Performance Computing (HPC), Big Data (BD), and Machine Learning (ML) in the computing continuum is being pursued in earnest across the academic and industry. We envision virtualization ...
Hydrodynamic models of accretion onto rotating compact stars
(English) Hydrodynamic models are essential for our understanding of the physics of stellar explosions, and specifically, for their potential contribution to the Galactic chemical abundances. In this Work, a one-dimensional ...
Lignocellulosic wastes and chitosan composites applied to recover rare earth elements by liquid-solid separation
(English) Rare earths elements (REE) are crucial elements to the future of technology, particularly to the power generation and road transport. One of the most sustainable processes to recover rare earths is biosorption. ...
Machine learning algorithms for 5G optical networks
(English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation tradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. The proposed schemes ...
Software diagnostics for autonomous safety-critical control-systems based on artificial intelligence
(English) Machine Learning (ML) systems allow the efficient implementation of functionalities that can be hard to program by traditional software due to the high spectrum of inputs that hinder the definition of a specific ...
Development of models to evaluate the potential of building roofs to reduce air pollution: application to the case of Tehran
(English) Environmental protection is a principle of both Millennium Development Goals and sustainable development, underscoring critical issues like greenhouse gases, global warming, and air pollution. Air pollution is a ...
Estrategias de diseño bioclimático para una vivienda popular en clima cálido-húmedo de México : protección solar, ventilación y técnicas de deshumidificación
(English) Popular housing in hot and humid areas of Mexico often faces challenges in terms of energy efficiency and comfort due to extreme weather conditions. Humidity is one of the main problems affecting the habitability ...
Data-driven information-theoretic tools under a second-order statistics perspective
(English) A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to ...
Scaling deep learning workloads. Applications in computer vision and seismology
(English) Deep learning techniques have an enormous impact on the state-of-the-art in many fields, such as computer vision, natural language processing, audio analysis and synthesis, and many others. The increasing computing ...
