Now showing items 1-20 of 425

  • 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 ...
  • Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks 

    Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
    Conference report
    Restricted access - publisher's policy
    Bearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ...
  • 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 ...
  • Active deep learning for medical imaging segmentation 

    Górriz Blanch, Marc (Universitat Politècnica de Catalunya, 2017)
    Bachelor thesis
    Open Access
    Covenantee:  Institut national polytechnique de Toulouse
    This thesis proposes a novel active learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our approach ...
  • Activity-aware HVAC power demand forecasting 

    Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2018-07-01)
    Article
    Restricted access - publisher's policy
    The forecasting of the thermal power demand is essential to support the development of advanced strategies for the management of local resources on the consumer side, such as heating ventilation and air conditioning (HVAC) ...
  • Adapting deep neural networks to a low-power environment 

    Mañas Sánchez, Oscar (Universitat Politècnica de Catalunya, 2017)
    Bachelor thesis
    Open Access
    These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep neural network has been trained for hours, days, or even weeks on a desktop GPU, it is deployed in the field where it runs ...
  • Adaptive multi agent system for guiding groups of people in urban areas 

    Garrell Zulueta, Anais; Sandoval Torres, Óscar; Sanfeliu Cortés, Alberto (Springer, 2011)
    Conference report
    Open Access
    This article presents a new approach for guiding a group of people using an adaptive multi agent system. For the simulations of the group of people we use social forces, with theses forces human motion is controlled ...
  • Adaptive neural network state predictor and tracking control for nonlinear time-delay systems 

    Na, Jing; Ren, Xuemei; Gao, Yan; Griñó Cubero, Robert; Costa Castelló, Ramon (2010-02)
    Article
    Restricted access - publisher's policy
    A new adaptive nonlinear state predictor (ANSP) is presented for a class of unknown nonlinear systems with input time-delay. A dynamical identification with neu- ral network (NN) is constructed to obtain NN weights and ...
  • 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 ...
  • AER-RT: Interfaz de Red con Topología en Anillo para SNN Multi-FPGA 

    Dorta Pérez, Silvestre Taho (Universitat Politècnica de Catalunya, 2013-07-08)
    Master thesis
    Open Access
    [ANGLÈS] This thesis presents AER-RT network interface, a network interface designed to work together a Multiprocessor System (MPS) and create an efficient and scalable multi-chip SNN network. The objective of AER-RT is ...
  • 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 ...