Recent Submissions

  • A methodology to assess the sustainability competencies in engineering undergraduate programs 

    Sánchez Carracedo, Fermín; Sabaté i Garriga, Ferran; Gibert, Karina (Tempus Publications, 2021)
    Article
    Restricted access - publisher's policy
    This paper presents a methodology to find out whether or not engineering students perceive sustainability learning throughout their studies at the university. The methodology is applied to students from Barcelona School ...
  • The organisational structure of an agent-based model for the management of wastewater systems 

    Oliva Felipe, Luis Javier; Verdaguer, Marta; Poch Espallargas, Manel; Vázquez Salceda, Javier; Cortés García, Claudio Ulises (2021-04-30)
    Article
    Open Access
    Water managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, ...
  • Antimicrobial resistance prediction in intensive care unit for Pseudomonas Aeruginosa using temporal data-driven models 

    Hernández Carnerero, Alvar; Sànchez-Marrè, Miquel; Mora Jiménez, Inmaculada; Soguero Ruiz, Cristina; Martínez Agüero, Sergio; Álvarez Rodríguez, Joaquín (2021-02-25)
    Article
    Open Access
    One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable ...
  • Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems 

    Pascual Pañach, Josep; Cugueró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel (Elsevier, 2021-06)
    Article
    Restricted access - publisher's policy
    This paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, ...
  • Forecastability measures that describe the complexity of a site for deep learning wind predictions 

    Manero Font, Jaume; Béjar Alonso, Javier (2021-05-29)
    Article
    Open Access
    The application of deep learning to wind time series for multi-step prediction obtains good results at short horizons. The accuracy of a wind forecast is highly dependent on the specific structure of wind in the specific ...
  • The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center 

    Cortés García, Claudio Ulises; Cortés Martínez, Atia; García Gasulla, Dario; Pérez Arnal, Raquel; Álvarez Napagao, Sergio; Álvarez Lacalle, Enrique (Springer Science and Business Media LLC, 2021-05-06)
    Article
    Restricted access - publisher's policy
    The COVID-19 pandemic has created an extraordinary medical, economic and humanitarian emergency. Artificial intelligence, in combination with other digital technologies, is being used as a tool to support the fight against ...
  • Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain 

    Pérez Arnal, Raquel; Conesa Ortega, David; Álvarez Napagao, Sergio; Suzumura, Toyotaro; Català Sabaté, Martí; Álvarez Lacalle, Enrique; Garcia Gasulla, Dario (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
    Article
    Open Access
    The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ...
  • Special issue on pattern recognition and cognitive assistants 

    Falomir, Zoe; Costa Bueno, Vicent; Plaza, Enric; Gibert, Karina (Elsevier, 2020-05-01)
    Article
    Restricted access - publisher's policy
    This special issue proposes a space for researchers to discuss the challenges of bridging pattern recognition and cognitive assistants. This bridge was travelled in both sides. From one side, how pattern recognition methods ...
  • Leveraging data science for a personalized haemodialysis 

    Hueso, Miguel; Haro Martín, Luis de; Calabria, Jordi; Dal-Re, R; Tebe, C; Gibert, Karina; Cruzado, Josep M; Vellido Alcacena, Alfredo (Karger, 2020-11)
    Article
    Open Access
    The 2019 Science for Dialysis Meeting at Bellvitge University Hospital was devoted to the challenges and opportunities posed by the use of data science to facilitate precision and personalized medicine in nephrology, and ...
  • Diet4You: a personal intelligent recommender for diets from a holistic perspective 

    Gibert, Karina; Sevilla-Villanueva, Beatriz; Sànchez-Marrè, Miquel; Marqués, Lluís; Casanova, Èric; Fitó Colomer, Montse (IOS Press, 2019-10-01)
    Article
    Restricted access - publisher's policy
    Prevention and nutrition are key for healthy lifestyles and are crucial in the new paradigm of patient-centered medicine, as healthy diet protects against chronic diseases and helps to delay diseases in general population. ...
  • Evaluating University-Business Collaboration at Science Parks: a Business Perspective 

    Olvera Herrera, Claudia; Piqué, Josep Ma; Cortés García, Claudio Ulises; Nemirovsky, Mario (2020-07-01)
    Article
    Open Access
    The evaluation of the companies’ performance at University Science Parks (SPs) becomes essential in identifying the needs of the companies and the feasibility of the University-Business Collaboration (ubc). The companies’ ...
  • El día después 

    Cortés García, Claudio Ulises (Universidad Nacional Autónoma de México, 2020-07-23)
    Article
    Open Access
    Se exploran las implicaciones del uso de herramientas algorítmicas de rastreo de los contactos digitales usando una aplicación en dispositivos móviles conectados a Internet. En la prevención de la propagación de la COVID19, ...

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