Now showing items 1-20 of 79

  • 3D Reconstruction of vegetation from orthophotos 

    Comino Trinidad, Marc (Universitat Politècnica de Catalunya, 2013-06-21)
    Bachelor thesis
    Open Access
    [CATALÀ] Mitjançant tècniques de Visió per Computador som capaços de detectar i classificar la flora present en una ortofoto. A partir d'aquesta informació, i d'un conjunt de models de plantes en 3D que generem, elaborem ...
  • Abstraction capabilities of deep neural networks while learning chess 

    Mitjans Coma, Carles (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2018-10)
    Master thesis
    Open Access
    En aquest treball es fa un estudi detallat de les Xarxes Neuronals, especialment de les xarxes neuronals profundes. En la part pràctica, s'utilitzen xarxes neuronals convolucionals per crear programes capaços d'apendre a ...
  • Adaptive distributed mechanism againts flooding network attacks based on machine learning 

    Berral García, Josep Lluís; Poggi Mastrokalo, Nicolas; Alonso López, Javier; Gavaldà Mestre, Ricard; Torres Viñals, Jordi; Parashar, Manish (ACM Press, NY, 2008)
    Conference report
    Restricted access - publisher's policy
    Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self- defense for networks and distributed systems. In this paper, we focus on early detection and stopping of ...
  • Advancements of vibration based damage detection techniques for small to medium span bridges 

    Moughty, John James; Casas Rius, Joan Ramon (2016)
    Conference report
    Restricted access - publisher's policy
    Overtime, the structural condition of bridges tends to decline due to a number of degradation processes, such as; creep, corrosion and cyclic loading, among others. Considerable research has been conducted over the years ...
  • A machine learning workflow for hurricane prediction 

    Kahira, Albert; Bautista Gomez, Leonardo; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2018-04-24)
    Conference report
    Open Access
  • Análisis automático de señales de Holter: adquisición, preprocesado y clasificación mediante Machine Learning 

    Cordero Rama, Jose Alejandro (Universitat Politècnica de Catalunya, 2012-09-27)
    Master thesis (pre-Bologna period)
    Restricted access - confidentiality agreement
  • Análisis, uso y desarrollo experimental de herramientas y tecnologías Open Source en Big Data 

    Fannes Claverol, Jean Paul; Pallejà Mairena, Marc (Universitat Politècnica de Catalunya, 2017-09-12)
    Bachelor thesis
    Open Access
    In this project, we pretend to analise, use and justify the use of Big Data nowadays in different areas like companies, research laboratories, etc., as well as different tools and Open Source technologies behind it that ...
  • Analysis, visualization and study of bike sharing dataset using Matlab 

    Hita Amorós, David (Universitat Politècnica de Catalunya, 2015-10)
    Master thesis (pre-Bologna period)
    Open Access
    Covenantee:  Tong ji da xue
    The purpose of this study is to demonstrate the ease of use of Matlab (with new releases) regarding the field of Data Analysis, especially for users who have little to no knowledge of complex programming languages in a ...
  • A new deep reinforcement learning architecture for autonomous UAVs 

    Muñoz Ferran, Guillem (Universitat Politècnica de Catalunya, 2018-09-07)
    Bachelor thesis
    Open Access
    Recent improvements in computation and algorithmic research, together with the rising era of Big Data, have allowed Artificial Intelligence increase its popularity within masses. The recent publication of the Deep Q-Network ...
  • Application of classification methods in business intelligence 

    Hashemi, Seyedpedram (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2017-10)
    Master thesis
    Restricted access - author's decision
    In past few years, many start-ups have started working. The few that survive make very important decisions by exploiting available data. This has amplified the importance of Business Intelligence and their tools, which ...
  • Aprenentatge aplicat al NL Texas Hold'em 

    Perapoch Amadó, Marçal (Universitat Politècnica de Catalunya, 2014-06-06)
    Master thesis (pre-Bologna period)
    Open Access
    Aquest projecte consisteix en la construcció d'un sistema software que permeti observar el comportament i resultats d'aplicar tècniques d'Intel·ligència Artificial al domini que engloba el conegut joc de cartes: Pòquer.
  • A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics 

    Berral García, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Open Access
    Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In ...
  • Artificial Intelligence for obstacles detection using IR camera images 

    Mercade Laborda, Sergi (Universitat Politècnica de Catalunya, 2019-06)
    Bachelor thesis
    Restricted access - author's decision
  • A stochastic approach for automatic layout synthesis in interior design, using a learningbased scoring function 

    Racec, Emil (Universitat Politècnica de Catalunya, 2016-07-06)
    Master thesis
    Open Access
    Covenantee:  Interiorvista
    Despite the increasing capabilities of computers to master sophisticated human-like tasks and the recent explosive new wave of Machine Learning-based methods, the interior design field still remains a hard-to-master area, ...
  • Big data: Aplicado al marketing 

    Rauet Garcia, Aleix (Universitat Politècnica de Catalunya, 2019-06)
    Bachelor thesis
    Open Access
    This thesis aims to prove how Machine Learning can help increasing the sales and client loyalty
  • Cholesky-factorized sparse Kernel in support vector machines 

    Abdellatif, Alhasan (Universitat Politècnica de Catalunya, 2019-07)
    Master thesis
    Open Access
    Support Vector Machine (SVM) is one of the most powerful machine learning algorithms due to its convex optimization formulation and handling non-linear classification. However, one of its main drawbacks is the long time ...
  • Class-Weighted convolutional features for image retrieval 

    Jiménez Sanfiz, Albert (Universitat Politècnica de Catalunya, 2017-07)
    Master thesis
    Open Access
    Covenantee:  NICTA
    Image retrieval in realistic scenarios targets large dynamic datasets of unlabeled images. In these cases, training or fine-tuning a model every time new images are added to the database is neither efficient nor scalable. ...
  • CodeMaker : una nova forma de jugar al MasterMind 

    Pont Rojas, Lluc (Universitat Politècnica de Catalunya, 2016-10-28)
    Bachelor thesis
    Open Access
    Mastermind és un joc de lògica per a dos jugadors, el qual consisteix en que un dels jugadors (el CodeBreaker) intenta encertar una combinació secreta pensada per l’altre jugador (CodeMaker). En aquest projecte s'han ...
  • Comparación de correctores automáticos de artefactos en series RR 

    Benítez Herrera, Adolfo (Universitat Politècnica de Catalunya, 2013-02-08)
    Master thesis (pre-Bologna period)
    Open Access
    [ANGLÈS] This End of Degree Project (EDP) analyzes three commercial software which correct Hear Rate Variability (HRV) RR time series. The analysis was performed by entering the RR time series in each program with an ...
  • Consistency on the Vertices, Edges and Mask: A Semi-Supervised Learning Approach for Image Segmentation 

    Fortuny Profitós, Jordi (Universitat Politècnica de Catalunya, 2019-04-26)
    Bachelor thesis
    Open Access
    Covenantee:  University of Toronto. Vector Institute
    In this thesis, we present a novel method for performing image segmentation in a semi-supervised approach, which we consider to be particularly relevant because of the substantial cost of obtaining pixel-wise annotations ...