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Managing the cloud continuum: lessons learnt from a real fog-to-cloud deployment
(2021-05-01)
Article
Open AccessThe 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
(2021-11)
Article
Open AccessThe 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
(Multidisciplinary Digital Publishing Institute, 2021-06)
Article
Open AccessFood 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
(2021-04-10)
Article
Open AccessIn 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
(2020-07-02)
Article
Open AccessMost 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
(2020-01-01)
Article
Open AccessComputer 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
(2020-01-01)
Article
Open AccessSince 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-25)
Article
Open AccessIn 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
(Elsevier, 2020)
Article
Open AccessUrban 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
(Elsevier, 2020)
Article
Open AccessCities 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
(2020-03-01)
Article
Open AccessThis 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
(Elsevier, 2020)
Article
Open AccessThis 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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