Now showing items 1-20 of 517

    • 3D car detection with LIDAR 

      Fernandez López, Christian (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      24 months embargo
      Covenantee:   Ficosa Electronics
      En esta tesis se propone entrenar una red neuronal para la detección de coches, utilizando sólo puntos de un LIDAR de 32 canales de la base de datos de NuScenes. El objetivo es conseguir el reconocimiento de coches frontales ...
    • 3D convolutional neural networks for brain tumor segmentation 

      Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Sayrol Clols, Elisa; Vilaplana Besler, Verónica (2016)
      Conference lecture
      Restricted access - publisher's policy
      This paper presents our work on applying 3D Convolutional Networks for brain tumor segmentation for the BRATS challenge. We are currently experimenting with different 3D fully convolutional architectures. We present ...
    • 3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures 

      Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Vilaplana Besler, Verónica (Springer, 2017-04-24)
      Part of book or chapter of book
      Open Access
    • 3D Face recognition with stereo automotive cameras 

      Tura Vecino, Biel (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      60 months embargo
      The automotive sector is experiencing a rapid change that will influence the way in which we will use cars. One of the main concerns of this new wave of automotive research regards the security of future vehicles, being ...
    • 3D point cloud correspondences using deep learning 

      Rica Palma, Javier de la (Universitat Politècnica de Catalunya, 2018-05)
      Bachelor thesis
      Open Access
      The main goal of the project is to find correspondences between points in two 3D point clouds using deep learning. A deep learning network is trained to select key points and find correspondences between two point clouds ...
    • 3D point cloud correspondences using graph neural networks 

      Gimenez Arnal, Mario (Universitat Politècnica de Catalunya, 2018-10-17)
      Bachelor thesis
      Open Access
      The purpose of this project is the study of neural networks, their training and application together with the creation of a database appropriate to the system. Specically, the 3D convolutional networks applied to a database ...
    • 3D pose estimation using convolutional neural networks 

      Rubio Romano, Antonio (Universitat Politècnica de Catalunya, 2015-10)
      Master thesis
      Open Access
      The present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the ...
    • A benchmark for graph neural networks for computer network modeling 

      Carol Bosch, Sergi (Universitat Politècnica de Catalunya, 2019-06-27)
      Master thesis
      Open Access
      Today, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay).This thesis introduces the benchmark for computer network modeling using ...
    • A chunking mechanism in a neural system for the parallel processing of a propositional production rules 

      Burattini, E.; Pasconcino, A.; Tamburrini, G. (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1995)
      Article
      Open Access
      The problem of extracting more compact rules from a rule-based knowledge base is approached by means of a chunking mechanism implemented via a neural system. Taking advantage of the parallel processing potentialities of ...
    • A communication infrastructure for emulating large-scale neural networks models 

      Barrera, A.G.; Moreno Aróstegui, Juan Manuel (Springer, 2012)
      Conference report
      Restricted access - publisher's policy
      This paper presents the SEPELYNS architecture that permits to in- terconnect multiple spiking neurons focused on hardware implementations. SEPELYNS can connect millions of neur ons with thousands of synapses per neuron ...
    • A Comprehensive survey on deep future frame video prediction 

      Selva Castelló, Javier (Universitat Politècnica de Catalunya, 2018-01-25)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona
      El present projecte planteja l'estudi comprensiu i extens per a la tasca de predicció de fotogrames donada una seqüència de vídeo. Mitjançant l'anàlisi de l'estat de l'art en generació d'imatges, xarxes convolucionals i ...
    • A digital memristor emulator for FPGA-based artificial neural networks 

      Vourkas, Ioanis; Abusleme, A.; Ntinas, V.; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ...
    • A framework for artificial data generation based on anatomical differences for electroencephalography-based brain-computer interfaces 

      Rapp, Rachel Elizabeth (Universitat Politècnica de Catalunya, 2019-07-01)
      Master thesis
      Open Access
      Covenantee:   Technische Universität Berlin
      One of the major limitations of brain-computer interfaces (BCI) is the need for a long and tedious calibration period in order for a subject to become proficient with the system. A principal challenge in training a BCI ...
    • A Generative Dialogue System for Reminiscence Therapy 

      Carós Roca, Mariona (Universitat Politècnica de Catalunya, 2019-09)
      Master thesis
      Open Access
      With people living longer than ever, the number of cases with neurodegenerative diseases such as Alzheimer's or cognitive impairment increases steadily. In Spain it affects more than 1.2 million patients and it is estimated ...
    • A Human Shape-Motion Predictor with Deep Learning 

      Romero Mérida, Antonio (Universitat Politècnica de Catalunya, 2019-04-24)
      Master thesis
      Open Access
      The objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and ...
    • A large-scale spiking neural networks emulation architecture 

      Pirrone, Vito (Universitat Politècnica de Catalunya, 2014-09-09)
      Master thesis
      Open Access
      The purpose of this work is to design a new version (called SNAVA+) of the architecture SNAVA, an SNN hardware emulator implemented on a XilinX Kintex-7 FPGA. SNAVA+ increases the capabilities of SNAVA in order to have a ...
    • A linguistic multi-criteria decision-aiding system to support university career services 

      Nguyen, Jennifer; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell Jané, Núria; Angulo Bahón, Cecilio (2017-07-27)
      Article
      Open Access
      In this paper we introduce a linguistic multi-criteria decision-aiding model to support college students with the internship job market application. It considers a fuzzy ordered weighted averaging (FOWA) operator in the ...
    • A machine learning approach to calculate the dropout risk factor in a children's programming school 

      Horta Bartomeu, Raquel (Universitat Politècnica de Catalunya, 2019-01-29)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • A multilayer extension of the similarity neural network 

      Buchaca Prats, David (Universitat Politècnica de Catalunya, 2014-11-24)
      Master thesis
      Open Access
      Aquest projecte ajunta idees de les radial basis functions, i el multilayer perceptron per a desenvolupar una altra arquitectura de xarxa neuronal artificial i un mètode per a poder-la entrenar. És una extensió de la ...
    • A multivariate neural network approach to tourism demand forecasting 

      Claveria, Oscar; Monte Moreno, Enrique; Torra, Salvador (2013-12-04)
      External research report
      Open Access
      This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a multiple-output framework. We test the forecasting accuracy of three different types of architectures: ...