IMP - Information Modeling and Processing
L’activitat científica del grup se centra en la investigació, la transferència tecnològica i la formació en temes lligats a la modelització i el processament de la informació, com ara la modelització conceptual, la qualitat de les dades, la intel•ligència del negoci, la mineria de dades o l’enginyeria de serveis. En el marc d’aquesta activitat, els membres del grup han aconseguit en el període 2014-juny 2017 14 projectes de R+D competitius i diversos contractes amb empreses, amb un ingrés total que supera els tres milions d’euros. També han publicat més de 50 articles en revistes indexades al Journal Citation Reports (JCR) i 15 capítols de llibre. A nivell formatiu, coordinen un Erasmus Mundus de Màster i han dirigit 11 tesis doctorals en els últims tres anys i mig. A més, compten amb nombroses col·laboracions internacionals i duen regularment a terme accions de divulgació científica dels resultats de la recerca.
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Articles de revista [29]
Recent Submissions
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Investigating the quality of Spiess-like and SPSA approaches for dynamic OD matrix estimation
(2020-01-01)
Article
Restricted access - publisher's policySince 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 ... -
Side channel attack on a partially encrypted MPEG-G file
(2021-03-08)
Article
Restricted access - publisher's policyNew genome sequencing technologies have decreased the cost of generating genomic data, thus increasing storage needs. The International Organization for Standardization (ISO) working group MPEG has developed a standard for ... -
A simulation assessment of shockwave detection and damping algorithms based on magnetometers and probe vehicle data
(Elsevier, 2021)
Article
Open AccessNowadays, connected cars are uncommon on our streets, but their percentage is expected to grow uninterruptedly. These devices would provide a lot of data in real-time that can be used for road operators to improve the ... -
Assessment of a shared-taxi routing service for disabled people: Barcelona case study
(Elsevier, 2021)
Article
Open AccessNowadays, multiple passenger ridesharing and its variants look one of the more promising emerging mobility concepts. However, the real implementation of these systems accounting specifically requirements for users should ... -
Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems
(Springer Nature, 2021-03)
Article
Restricted access - publisher's policyThe fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up ... -
Data engineering for data science: two sides of the same coin
(Springer, 2020)
Conference report
Open AccessA de facto technological standard of data science is based on notebooks (e.g., Jupyter), which provide an integrated environment to execute data workflows in different languages. However, from a data engineering point of ... -
Characterizing parking systems from sensor data through a data-driven approach
(Informa UK (Taylor & Francis), 2021)
Article
Restricted access - publisher's policyNowadays, urban traffic affects the quality of life in cities as the problem becomes even more exacerbated by parking issues: congestion increases due to drivers searching slots to park. An Internet of Things approach ...
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