• Gestió de la biodiversitat i patrimoni de l’INCASÒL: creació d’un mercat de CO2 basat en Blockchain..

  Pedrós Villorbina, Roger (2023-12-04)

  El canvi climàtic és un problema global causat per l'increment de les emissions de gasos d'efecte hivernacle, que estan provocant l'augment de la temperatura global amb conseqüències negatives devastadores. Per aquest ...
• CarbonSavings: a blockchain-powered move-to-earn app for citizen’s awareness on greenhouse gas emissions

  Xiang Vico, Hong-ming (2023)

  Move-to-earn (M2E) is a blockchain-based business model that promotes physical activity through a mobile phone application in exchange for earning digital assets rewards. In this project, the sustainable potential of the ...
• Corpus-wise extraction of syntactic structures for data-to-text generators

  Ricci Comella, Josep (2023-11-20)

  Data-to-text NLG consists in converting structured data as found for instance in the Semantic Web (e.g. DBpedia, Wikidata, etc.) into well-formed text in the target language(s). The input to the system is typically a series ...
• Participatory design process in a Cooperative Mixed Reality Full-body Interactive Experience

  Tüter, Gözde (2023-10-27)

  The importance of involving children in technology design has been emphasized in previous and recent studies. Moreover, as stated in the literature, the fact that the creativity of children is higher than that of adults ...
• Emerging leadership effect on group outcomes in CSCL activities

  Blasco Royo, Laia (2023-10-27)

  Research has demonstrated that Computer-Supported Collaborative Learning (CSCL) is beneficial in fostering students’ engagement and enhancing their learning outcomes. Consequently, the effect of group settings in learning ...
• Hacking into the Memory Palace. . A study on the effects of spatial clustering and active learning on item memorization

  Benazet i Montobbio, Pau (2023-10-27)

  Plenty of research has been conducted on the role of space in organizing memories. Recent studies indicate a connection between spatial clustering and free-recall memory performance. However, the long-term stability of ...
• The effects of a synchronous full-body interactive mixed reality system on the prosocial behavior of children with and without autism spectrum condition

  Schumacher, Karina (2023-10-27)

  Prosociality refers to behaviors that are intended to benefit others and is, therefore, a key element of a thriving society. Fostering prosocial behaviors in children with Autism Spectrum Condition (ASC) can be more ...
• Investigating decision making process in a 2d grid world: a hotel lobby experiment

  Ak, Cansu (2023-10-18)

  Recent research into video game playing (VGP) has produced varied and inconclusive results. Past investigations have indicated potential positive impacts of VGP on cognitive abilities, specifically enhancements in areas ...
• Enhancing Deep Learning CT pancreas segmentation with Test-Time Augmentation and Merging Techniques to Leverage Inter-rater variability and uncertainty

  Sastre García, Blanca (2023-10-18)

  In recent years, Deep Learning (DL) models have achieved state-of-the-art performance in automatic segmentation of medical images. However, to obtain good results, large and accurately annotated datasets are required for ...
• DragonIce: developing a full-body interaction application to promote and assess prosocial behavior in children

  Delgado Rueda, Óscar (2023-10-17)

  New technologies, such as full-body Mixed Reality systems, and the affinity that children have for it, have made it possible to develop more engaging and dynamic learning experiences for children with and without autism. ...
• Inverse reinforcement learning with linearly-solvable MDPs for multiple reward functions

  Deb, Ahana (2023-10-09)

  A subclass of Markov Decision Processes (MDPs), the Linearly solvable Markov Decision Processes (LMDPs), which have discrete state space and continuous control space, allow for a significant simplification of the inverse ...
• Predictive gut microbiome analysis for health assessment

  Gil Sorribes, Manel (2023-10-04)

  Personalized medicine is a rapidly evolving field to which many resources have been devoted recently. It represents a paradigm shift from a one-size-fits-all approach to healthcare, focusing instead on tailoring treatments ...
• Plan de negocio para un servicio web. Skull Sound

  Pintado Lineros, Amanda (2023-10-03)

  El trabajo presentado es un plan de negocios dirigido a lanzar un servicio web de comunicación instantánea por voz que facilite la recreación de conciertos y estudios de ensayo para músicos profesionales y casuales, con ...
• Custom Vulkan Engine to Render Black Holes in Real Time Using Ray-Marching

  Meseguer Orrit, Roger (2023-10-03)

  This report deals with the Narwhal Engine: an interactive Vulkan-based graphics engine we developed that renders black holes in real time. Our engine is focused on rendering Schwarzschild and Kerr black holes, which are ...
• Implementation of a privacy preserving KNN algorithm based on FHE

  Viladot Saló, Albert (2023-10-03)

  Fully homomorphic encryption (FHE) is an encryption technique that allows computation to be performed on encrypted data without the need to decrypt it first. This has the potential to revolutionize data security and ...
• Detección de ironía en el texto en espanyol

  Casanovas Pérez, Èric (2023-10-03)

  Durante los últimos años, ha habido un notable desarrollo de las tecnologías de procesamiento del lenguaje natural para diversas tareas como la clasificación de textos, extracción de información y generación automática ...
• Criptografia homomòrfica basada en TFHE: teoria i pràctica

  López Romero, Erica (2023-10-03)

  La criptografia homomòrfica és un sistema que permet realitzar operacions amb dades encriptades, sense necessitat de desencriptar-les, garantint la privacitat de la informació. Aquest projecte es basa en el disseny i ...
• Predicting zippers: the power of ML in the small textile companyies

  Dalmau Clotet, Júlia (2023-10-03)

  The textile industry has begun to embrace algorithm and Machine Learning (ML) predictions over the past decade to improve their sales performance and overall efficiency. In this project, ML models are applied in a zipper ...
• Low-Code Technologies for Application Development

  Mendoza Colom, Cristina (2023-10-03)

  Low-Code is a rising technique for development which consists in create, design, and develop software applications with minimal coding or no coding at all. Its goal is to simplify and speed up the development process, ...
• Design of CardioScreener, a novel software for the study of patients with inherited cardiomyopathies

  Almada Alpuin, Camila Denis (2023-10-03)

  Inherited cardiomyopathies are diseases that have their origin in the myocardium, where unusual electrical or mechanical functions appear. There are several causes, however one of the most considered is the genetic factor ...

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