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    • A machine learning based material homogenization technique for masonry structures 

      Kalkbrenner, Philip (Universitat Politècnica de Catalunya, 2021-11-03)
      Tesi
      Accés obert
      Cutting-edge methods in the computational analysis of structures have been developed over the last decades. Such modern tools are helpful to assess the safety of existing buildings. Two main finite element (FE) modeling ...

    • A machine learning based recommendation system for furniture selection 

      Manresa Román, Maria Isabel (Universitat Politècnica de Catalunya, 2022-07-04)
      Treball Final de Grau
      Accés obert
      Artificial Intelligence (AI) is one of today's fastest growing technologies, and has been evolving for decades. It allows machines to have the ability to "learn", and self-correct. This technology is used in many fields, ...

    • 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 enabled network planning tool 

      Moysen Cortes, Jessica; Giupponi, Lorenza; Mangues Bafalluy, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In the coming years, planning future mobile networks will be infinitely more complex than nowadays. Future networks are expected to present multiple Network Management (NM) challenges to operators, such as managing network ...

    • 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 methodology for structural damage classification in structural health monitoring 

      Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Vitola Oyaga, Jaime (2017)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      One of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ...

    • A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation 

      Martín Muñoz, Mario; Contreras-Hernández, Enrique; Béjar Alonso, Javier; Espósito, Gennaro; Chávez, Diógenes; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2015-08-26)
      Article
      Accés obert

    • 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 pipeline for supporting differentiation of glioblastomas from single brain metastases 

      Mocioiu, Victor; de Barros, Nuno M. Pedrosa; Ortega Martorell, Sandra; Slotboom, Johannes; Knecht, Urspeter; Arús, Carles; Vellido Alcacena, Alfredo; Julià Sapé, Margarida (I6doc.com, 2016)
      Text en actes de congrés
      Accés obert
      Machine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ...

    • A machine learning pose transfer system 

      Izquierdo Bas, Sergi (Universitat Politècnica de Catalunya, 2022-07-04)
      Treball Final de Grau
      Accés obert
      In recent years, the introduction of Machine Learning together with the use of conventional image processing techniques has given a boost to the generation of images. However, as these models are getting better their ...

    • 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 approach for virtual network function modeling 

      Mestres Sugrañes, Albert; Alarcón Cot, Eduardo José; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. The application of ML to networking brings several use-cases as well as challenges. The ...

    • A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty 

      Shokry Abdelaleem Taha Zied, Ahmed; Medina González, Sergio; Baraldi, Piero; Zio, Enrico; Moulines, Eric François Victor; Espuña Camarasa, Antonio (Elsevier, 2021-12-01)
      Article
      Accés obert
      Chemical process operation optimization aims at obtaining the optimal operating set-points by real-time solution of an optimization problem that embeds a steady-state model of the process. This task is challenged by ...

    • 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 (2022-08)
      Article
      Accés obert
      Approximately 70,000 Spanish off-stream reservoirs, many of them irrigation ponds, need to be evaluated in terms of their potential hazard to comply with the new national Regulation of the Hydraulic Public Domain. This ...

    • 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 macro-modelling finite element technique for the realistic simulation of cracking in masonry structures 

      Saloustros, Savvas; Pelà, Luca; Cervera Ruiz, Miguel; Roca Fabregat, Pedro (CRC Press, 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper presents an improved computational model for the analysis of masonry structures based on continuum mechanics finite element approaches. The proposed numerical technique uses a cracktracking algorithm to model ...

    • A macroárea de estruturação metropolitana de São Paulo: o projeto urbano como instrumento de transformação do território 

      Franco, Fernando de Mello; Almeida, Carolina Heldt D’; Abreu, Giselle Kristina Mendonça (RIURB Editores, 2015-12)
      Article
      Accés obert
      O atual contexto de transição produtiva e reforma do marco regulatório urbano marca uma oportunidade para se repensar as estratégias de transformação da metrópole de São Paulo. Ao longo da sua história, conformou-se um ...

    • A macroscopic damage-plastic constitutive law for modeling quasi-brittle fracture and ductile behavior of concrete 

      Sánchez, P.J.; Huespe, Alfredo Edmundo; Oliver Olivella, Xavier; Díaz, G.; Sonzogni, Victorio Enrique (2012-04)
      Article
      Accés obert
      A new phenomenological macroscopic constitutive model for the numerical simulation of quasi-brittle fracture and ductile concrete behavior, under general triaxial stress conditions, is presented. The model is particularly ...

    • A macroscopic performance analysis of NASA’s northrop grumman RQ-4A 

      Pastor Llorens, Enric; Pérez Batlle, Marcos; Barrado Muxí, Cristina; Royo Chic, Pablo; Cuadrado Santolaria, Raúl (Multidisciplinary Digital Publishing Institute (MDPI), 2018-01-10)
      Article
      Accés obert
      This paper presents the process of identification, from a macroscopic point of view, of the Northrop Grumman RQ-4A Global Hawk Remote-Piloted Aircraft System from real, but limited flight information. Performance parameters ...