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  • Sensor-aware normal estimation for point clouds from 3D range scans 

    Comino Trinidad, Marc; Andújar Gran, Carlos Antonio; Chica Calaf, Antonio; Brunet Crossa, Pere (2018)
    Article
    Accés restringit per política de l'editorial
    Normal vectors are essential for many point cloud operations, including segmentation, reconstruction and rendering. The robust estimation of normal vectors from 3D range scans is a challenging task due to undersampling and ...

  • José María de Oleza Arredondo, S.J. (1887-1975) 

    Hernández Fernández, Antonio; Ferrer Cancho, Ramon (RAM-Verlag, 2018-05)
    Article
    Accés obert
    A short piece on the life of José María de Oleza Arredondo S.J., one of the founders of Quantitative Linguistics in Catalonia

  • A resilient and distributed near real-time traffic forecasting application for Fog computing environments 

    Pérez, Juan Luis; Gutiérrez Torre, Alberto; Berral Garcia, Josep Lluis; Carrera Pérez, David (Elsevier, 2018-10-01)
    Article
    Accés obert
    In this paper we propose an architecture for a city-wide traffic modeling and prediction service based on the Fog Computing paradigm. The work assumes an scenario in which a number of distributed antennas receive data ...

  • An edge-stream computing infrastructure for real-time analysis of wearable sensors data 

    Greco, Luca; Ritrovato, Pierluigi; Xhafa Xhafa, Fatos (Elsevier, 2019-04)
    Article
    Accés restringit per política de l'editorial
    The fast development of IoT in general and wearable smart sensors in particular in the context of wellness and healthcare are demanding for definition of specific infrastructure supporting real time data analysis for anomaly ...

  • Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system 

    Poniszewska-Maranda, Aneta; Kaczmarek, Daniel; Kryvinska, Natalia; Xhafa Xhafa, Fatos (2018-11-15)
    Article
    Accés restringit per política de l'editorial
    The Internet of Things (IoT) has emerged as a disruptive technology for the current and future of computing and communication. IoT is characterized by a variety of heterogeneous technologies and devices able to be connected ...

  • Back-to-front ordering of triangles in digital terrain models over regular grids 

    Alonso López, Javier; Joan Arinyo, Robert (2018-11-01)
    Article
    Accés restringit per política de l'editorial
    Visiting triangles that conform a digital terrain model is a core operation in a number of fields like animation and video games or generating profiles, cross-sections, and contours in civil engineering. Performing the ...

  • Sphericity and roundness computation for particles using the extreme vertices model 

    Cruz Matías, Irving; Ayala Vallespí, M. Dolors; Hiller, Daniel; Gutsch, Sebastian; Zacharias, Margit; Estradé, Sònia; Peiró Martínez, Francesca (Elsevier, 2019-01-01)
    Article
    Accés restringit per política de l'editorial
    Shape is a property studied for many kinds of particles. Among shape parameters, sphericity and roundness indices had been largely studied to understand several processes. Some of these indices are based on length measurements ...

  • Terrain super-resolution through aerial imagery and fully convolutional networks 

    Argudo Medrano, Óscar; Chica Calaf, Antonio; Andújar Gran, Carlos Antonio (2018-05-22)
    Article
    Accés restringit per política de l'editorial
    Despite recent advances in surveying techniques, publicly available Digital Elevation Models (DEMs) of terrains are low-resolution except for selected places on Earth. In this paper we present a new method to turn ...

  • A parallel grid-based implementation for real-time processing of event log data of collaborative applications 

    Xhafa Xhafa, Fatos; Paniagua, Claudi; Barolli, Leonard; Caballé Llobet, Santiago (2010)
    Article
    Accés obert
    Collaborative applications usually register user interaction in the form of semi-structured plain text event log data. Extracting and structuring of data is a prerequisite for later key processes such as the analysis of ...

  • Computational models and heuristic methods for Grid scheduling problems 

    Xhafa Xhafa, Fatos; Abraham, Ajith (Elsevier, 2010)
    Article
    Accés obert
    In this paper we survey computational models for Grid scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the heart of any Grid-like computational system. ...

  • An efficient PHR service system supporting fuzzy keyword search and fine-grained access control 

    Xhafa Xhafa, Fatos; Wang, Jianfeng; Chen, Xiaofeng; Liu, Joseph K.; Li, Jin; Krause, Paul (Springer, 2014-09)
    Article
    Accés obert
    Outsourcing of personal health record (PHR) has attracted considerable interest recently. It can not only bring much convenience to patients, it also allows efficient sharing of medical information among researchers. As ...

  • Environmental data stream mining through a case-based stochastic learning approach 

    Orduña Cabrera, Fernando; Sànchez-Marrè, Miquel (Elsevier, 2018-08-01)
    Article
    Accés obert
    Environmental data stream mining is an open challenge for Data Science. Common methods used are static because they analyze a static set of data, and provide static data-driven models. Environmental systems are dynamic and ...

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