Recent Submissions

  • Managing the cloud continuum: lessons learnt from a real fog-to-cloud deployment 

    Masip Bruin, Xavier; Marín Tordera, Eva; Sánchez López, Sergio; García Almiñana, Jordi; Jukan, Admela; Juan Ferrer, Ana; Queralt Calafat, Anna; Salis, Antonio; Bartoli, Andrea; Cankar, Matija; Cordeiro, Cristovao; Jensen, Jens; Kennedy, John D. (2021-05-01)
    Article
    Open Access
    The wide adoption of the recently coined fog and edge computing paradigms alongsideconventional cloud computing creates a novel scenario, known as the cloud continuum, whereservices may benefit from the overall set of ...
  • A model for verification and validation of law compliance of smart contracts in IoT environment 

    Amato, Flora; Cozzolino, Giovanni; Moscato, Francesco; Moscato, Vincenzo; Xhafa Xhafa, Fatos (2021-11)
    Article
    Open Access
    The interest of Industry 4.0 in smart contracts and blockchain technologies is growing up day by day. Smart contracts have enabled new kinds of interactions whereby contractors can even fully automate processes they agree ...
  • A Game theoretic framework for surplus food distribution in smart cities and beyond 

    Sanyal, Surja; Kumar Singh, Vikash; Xhafa Xhafa, Fatos; Sanyal, Banhi; Mukhopadhyay, Sajal (Multidisciplinary Digital Publishing Institute, 2021-06)
    Article
    Open Access
    Food waste is currently a major challenge for the world. It is the precursor to several socioeconomic problems that are plaguing modern society. To counter and to, simultaneously, stand by the undernourished, surplus food ...
  • Instance-level update in DL-Lite ontologies through first-order rewriting 

    Giacomo, Giuseppe De; Oriol Hilari, Xavier; Rosati, Riccardo; Savo, Domenico Fabio (2021-04-10)
    Article
    Open Access
    In this paper we study instance-level update in DL-LiteA , a well-known description logic that influenced the OWL 2 QL standard. Instance-level update regards insertions and deletions in the ABox of an ontology. In particular ...
  • A surrogate-based cooperative optimization framework for computationally expensive black-box problems 

    García García, José Carlos; García Ródenas, Ricardo; Codina Sancho, Esteve (2020-07-02)
    Article
    Open Access
    Most parallel surrogate-based optimization algorithms focus only on the mechanisms for generating multiple updating points in each cycle, and rather less attention has been paid to producing them through the cooperation ...
  • Varietal quality control in the nursery plant industry using computer vision and deep learning techniques 

    Borraz Martínez, Sergio; Tarrés Ruiz, Francisco; Boqué, Ricard; Mestre, Mariàngela; Simó Cruanyes, Joan; Gras Moreu, Anna Maria (2020-01-01)
    Article
    Open Access
    Computer vision coupled to deep learning is a promising technique withmultiple applications in the industry. In this work, the potential of thistechnique has been assessed in the classification of two varieties of almondtrees ...
  • Investigating the quality of Spiess-like and SPSA approaches for dynamic OD matrix estimation 

    Ros Roca, Xavier; Montero Mercadé, Lídia; Barceló Bugeda, Jaime (2020-01-01)
    Article
    Open Access
    Since OD matrices are not directly observable, indirect procedures have been developed to estimate OD matrices from traffic data. Traffic management must move toward dynamic traffic assignment models because they capture ...
  • Real-time emotion classification using EEG data stream in e-learning contexts 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-25)
    Article
    Open Access
    In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. ...
  • Improving parking availability information using deep learning techniques 

    Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep; Vázquez Giménez, Juan José (Elsevier, 2020)
    Article
    Open Access
    Urban traffic currently affects the quality of life in cities and metropolitan areas as the problem becomes ever more aggravated by parking issues: congestion increases due to individuals looking for slotsto park their ...
  • A comparison of deep learning methods for urban traffic forecasting using floating car data 

    Vázquez Giménez, Juan José; Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep (Elsevier, 2020)
    Article
    Open Access
    Cities today must address the challenge of sustainable mobility, and traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue ...
  • Governmental censorship of the Internet: Spanish vs. Catalans case study 

    Medina Llinàs, Manuel (2020-03-01)
    Article
    Open Access
    This article summarizes the actions taken by the Spanish government pretending to censor information published and applications developed by the Catalan government and some independent activists in order to organize an ...
  • A multi-objective programming model for timetables on corridors integrating macroscopic and microscopic approaches 

    Marín Gracia, Ángel; Codina Sancho, Esteve (Elsevier, 2020)
    Article
    Open Access
    This paper proposes an integrated framework for timetable design that meets the needs of service planners, who usually adopt a purely macroscopic point of view toward the demand requirements and conflicts that these ...

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