Ara es mostren els items 1-20 de 324

    • 2D to 3D body pose estimation for sign language with Deep Learning 

      Perez Granero, Pol (Universitat Politècnica de Catalunya, 2020-06)
      Treball Final de Grau
      Accés obert
      This project aims at leveraging the challenge of using 3D poses for Sign Language translation or animation by transforming 2D pose datasets into 3D ones. The goal is, using a 3D dataset of American Sign Language, to train ...
    • 3D Reconstruction of vegetation from orthophotos 

      Comino Trinidad, Marc (Universitat Politècnica de Catalunya, 2013-06-21)
      Treball Final de Grau
      Accés obert
      [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 ...
    • A Learning Approach to Solving Automatic Control Problems 

      Parellada Calderer, Benjami (Universitat Politècnica de Catalunya, 2022-10-18)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Els problemes de control automàtic poden ser extremadament difícils de resoldre per a qualsevol algoritme no adaptatiu. El control automàtic implica l'avaluació en temps real de les respostes d'un sistema que es retroalimenta ...
    • A machine learning approach for optimal positioning of piezoelectric sensors for an Unmanned Air Vehicle -UAV- 

      Murgia, Alessio (Universitat Politècnica de Catalunya, 2023-10-17)
      Projecte Final de Màster Oficial
      Accés obert
      The field of Structural Health Monitoring (SHM) is in continuous development. Its applications are many, spacing from bridges to wind turbine all the way through air vehicles and drones. The focus of this project will be ...
    • A machine learning approach to predicting a basketball game outcome 

      Poch Alonso, Roger (Universitat Politècnica de Catalunya, 2019-10-25)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Realitzat a/amb:   Sveučilište u Zagrebu
    • A machine learning based wall model for LES of turbulent flows 

      Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (Barcelona Supercomputing Center, 2021-05)
      Text en actes de congrés
      Accés obert
      The trubulent flow of fluids is still an enigma for mathematicians and engineers alike. The partial differential equation that reperesents the flow of fluids does not have an analytical solution for turbulent regimes. ...
    • A Machine learning IDS for known and unknown anomalies 

      Aguiló Gost, Francisco de Asis L.; Simó Mezquita, Ester; Marín Tordera, Eva; Hussain, Ayaz (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      In this work an Intrusion Detection System to detect anomalies in networks system entries is presented. It is based on Machine Learning models and is composed of two components. The first component detects known anomalies ...
    • A machine learning pipeline for labeling chess pieces images 

      Mollon Prat, Roger (Universitat Politècnica de Catalunya, 2023-10-16)
      Treball Final de Grau
      Accés obert
      Nowadays there are lots of emerging use cases and fields to artificial intelligence/machine learning technologies. One of several relevant fields is that of image recognition model training, which itself has several potential ...
    • A machine learning research template for binary classification problems and shapley values integration 

      Smith, Matthew; Alvarez, Francisco (Elsevier, 2021-05)
      Article
      Accés obert
      This paper documents published code which can help facilitate researchers with binary classification problems and interpret the results from a number of Machine Learning models. The original paper was published in Expert ...
    • A machine learning workflow for hurricane prediction 

      Kahira, Albert; Bautista Gomez, Leonardo; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2018-04-24)
      Text en actes de congrés
      Accés obert
    • A machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failure 

      Silva Cancino, Nathalia; Salazar González, Fernando; Sanz Ramos, Marcos; Bladé i Castellet, Ernest (International Association for Hydro-Environment Engineering and Research (IAHR), 2022)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      With the modification of the Regulations of the Hydraulic Public Domain of Spain in 2008, approximately 70.000 owners of off-stream reservoirs are obligated to present a classification assessment on the potential risk due ...
    • A new deep reinforcement learning architecture for autonomous UAVs 

      Muñoz Ferran, Guillem (Universitat Politècnica de Catalunya, 2018-09-07)
      Treball Final de Grau
      Accés obert
      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 ...
    • A new machine learning approach to support asset management in water distribution networks 

      Brucia, Paolo Gioele (Universitat Politècnica de Catalunya, 2022-01-31)
      Projecte Final de Màster Oficial
      Accés obert
      One of the main causes of the widespread problem of freshwater scarcity lies in unfruitful maintenance of distribution infrastructure, leading to failures with consequent waste of precious resources. It is estimated that ...
    • A novel approach for dynamic capacity sharing in multi-tenant scenarios 

      Vilà Muñoz, Irene; Pérez Romero, Jordi; Sallent Roig, Oriol; Umbert Juliana, Anna (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Comunicació de congrés
      Accés obert
      Network slicing is included as a key feature of the 5G architecture in order to simultaneously support diverse service types with heterogeneous requirements. The realization of network slicing in the Radio Access Network ...
    • A planning solution for forecasting product sales with cannibalization 

      Ibáñez Prat, Ferran (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2022-01)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Accenture
      Predicting sales using cannibalization effects is a current major challenge. Several approaches deal with the estimation of cannibalization of new product launches or promotion effects but how to account for it when ...
    • 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)
      Text en actes de congrés
      Accés obert
      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 ...
    • A stochastic approach for automatic layout synthesis in interior design, using a learningbased scoring function 

      Racec, Emil (Universitat Politècnica de Catalunya, 2016-07-06)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   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, ...
    • A Survey on multimodal data stream mining for e-learner’s emotion recognition 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Emotions play a crucial role in learning. To improve and optimize electronic learning (e-Learning) outcomes, many researchers have investigated the role of emotions. Also, researchers have come up with many approaches to ...
    • A tool for Predictive Maintenance of non-critical machines using raw vibration data with Machine Learning models 

      Segura Pons, Jordi (Universitat Politècnica de Catalunya, 2022-07-21)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat
      Realitzat a/amb:   Engisoft
    • A workflow for the analysis and modelling of high-dimensional omics data 

      Otero Martín, Gerard (Universitat Politècnica de Catalunya, 2019-09)
      Treball Final de Grau
      Accés obert
      En los últimos años, los avances en el campo de la computación han convertido al Machine Learning en un método viable para obtener información muy precisa y hacer grandes predicciones relacionadas con todo el campo de la ...