Ara es mostren els items 1-12 de 278

    • Deep learning approaches for detecting and explaining hepatic disorders from CT scans 

      Cuervo Noguera, Ruben (Universitat Politècnica de Catalunya, 2024-01-23)
      Projecte Final de Màster Oficial
      Accés obert
      Porto-Sinusoidal Vascular Disorder (PSVD) is a term that encapsulates a series of rare liver disorders characterized by specific alterations in portal vein branches which currently can only be diagnosed by performing a ...
    • Immunohistochemistry images analysis with convolutional and graph neural networks 

      Rabanaque Rodríguez, Sonia (Universitat Politècnica de Catalunya, 2024-01-22)
      Projecte Final de Màster Oficial
      Accés obert
      Breast cancer is one of the most prevalent diseases in our society. The survival rate is increasing thanks to medical advances and the early detection of the disease through various diagnostic tests. To achieve this, a ...
    • Group theory and symmetries for Machine Learning applying to robotics 

      Zhang, Shanshan (Universitat Politècnica de Catalunya, 2023-10-19)
      Projecte Final de Màster Oficial
      Accés obert
      Recently, Deep Reinforcement Learning (DRL) has found numerous applications in robotics control enabling robots to learn complex tasks and adapt to new environments, however, it is notorious for being extremely sensitive ...
    • Applying Reinforcement Learning Techniques for Emergency Resource Dispatch 

      Garriga Orteu, Anna (Universitat Politècnica de Catalunya, 2023-10-19)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis is part of the SIA-REMU project, which aims to optimize the management of medical emergency resources using artificial intelligence tools. The specific focus of this work is on employing Reinforcement Learning ...
    • Offline reinforcement learning for ambulance dispatch 

      Lamarca Ferrés, Enric (Universitat Politècnica de Catalunya, 2023-10-19)
      Projecte Final de Màster Oficial
      Accés obert
      This master's thesis is focused on applying offline reinforcement learning techniques to the ambulance dispatch problem, which involves selecting the most appropriate ambulance to dispatch when an incident occurs. The ...
    • Leveraging MARL techniques to speed up learning by decomposing big action spaces 

      Marset Alsina, Joaquim (Universitat Politècnica de Catalunya, 2023-10-20)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis explores the field of multi-agent reinforcement learning (MARL). It presents a solution to tackle the problems single-agent methods face when they cannot solve a task because the action dimensionality is too ...
    • Exploring multimodal sentiment analysis in AI 

      Bejarano Sepulveda, Edison Jair (Universitat Politècnica de Catalunya, 2023-10-20)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
    • Optimizing urban traffic flow: reinforcement learning-based traffic light control 

      Dzmanashvili, Demetre (Universitat Politècnica de Catalunya, 2023-10-20)
      Projecte Final de Màster Oficial
      Accés obert
      The ever-increasing population as well as the ever-increasing demands placed on transportation are the root causes of the persistent problem of traffic congestion in metropolitan places. In situations with low traffic ...
    • Using deep learning to predicting Diabetic Retinopathy in OCTA images adding clinical information 

      Gil Garcia, Marta (Universitat Politècnica de Catalunya, 2023-10-20)
      Projecte Final de Màster Oficial
      Accés obert
      There is a very high demand for DR screening tests. Optical coherence tomography angiography (OCTA) is a new imaging technique that has shown promising results for the early diagnosis of diabetic retinopathy (DR). This has ...
    • Neural Fashion AI 

      Argüello Suárez, Alejandro (Universitat Politècnica de Catalunya, 2024-01-25)
      Projecte Final de Màster Oficial
      Accés obert
      The rapid advancement of generative models for image generation has ushered in a new era of innovation in various industries. In the last year, with the arrival of models such as Stable Diffusion, MidJourney or Dall-E, we ...
    • Develop a deep learning model for food image classification 

      Núñez Picado, Andrey (Universitat Politècnica de Catalunya, 2024-01-25)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
    • Exploring the Capabilities of Deep Learning Models for Transport and Human Activity Recognition 

      Caravaca Ibáñez, Gerard (Universitat Politècnica de Catalunya, 2024-01-23)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis explores the transformative potential of deep learning smartphone-based transportation mode detection systems in enhancing urban planning in the city of Barcelona. The core of this thesis is the development and ...