GREC - Grup de Recerca en Enginyeria del Coneixement: Enviaments recents
Ara es mostren els items 1-12 de 220
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A multi-attribute group decision model based on unbalanced and multi-granular linguistic information: an application to assess entrepreneurial competencies in secondary schools
(2021-11-01)
Article
Accés restringit per acord de confidencialitatAdvances in multi-attribute group decision making require the development of structures flexible enough to deal with unbalanced and multi-granular linguistic information. New distances between linguistic terms are needed ... -
Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method
(2022-05-02)
Article
Accés obertThis paper considers the problem of finding suitable sites for wind farms in a region of Catalonia (Spain). The evaluation criteria are structured into a hierarchy that identifies several intermediate sub-goals dealing ... -
Hesitancy and consensus measures to understand ratings: an application to hotel recommendations
(2018)
Comunicació de congrés
Accés restringit per política de l'editorialWhen searching for recommendations online, users are often presented with similar items all having the same ratings. It is left to the user to discern which rated item is best from other information. In order to facilitate ... -
Cognitive human factors in the artificial intelligence of things
(2022)
Text en actes de congrés
Accés obertInternet of Things (IoT) systems are increasingly becoming complex. Heterogeneity in terms of hardware, software, computing capacity and connectivity is a source of complexity. The conversion of IoT systems into cyber-physical ... -
Initial test of "BabyRobot" behaviour on a teleoperated toy substitution: improving the motor skills of toddlers
(2022)
Text en actes de congrés
Accés obertThis article introduces “Baby Robot”, a robot designed to improve infants’ and toddlers’ motor skills. This robot is a car-like toy that moves autonomously by using reinforcement learning and computer vision. Its behaviour ... -
Autoencoders for semi-supervised water level modeling in sewer pipes with sparse labeled data
(2022-01-24)
Article
Accés obertMore frequent and thorough inspection of sewer pipes has the potential to save billions in utilities. However, the amount and quality of inspection are impeded by an imprecise and highly subjective manual process. It ... -
Operational modes detection in industrial gas turbines using an ensemble of clustering methods
(2021-12-01)
Article
Accés obertOperational modes of a process are described by a number of relevant features that are indicative of the state of the process. Hundreds of sensors continuously collect data in industrial systems, which shows how the ... -
Machine-learning-based condition assessment of gas turbine: a review
(2021-12-15)
Article
Accés obertCondition monitoring, diagnostics, and prognostics are key factors in today’s competitive industrial sector. Equipment digitalisation has increased the amount of available data throughout the industrial process, and the ... -
Generative adversarial networks for anonymized healthcare of lung cancer patients
(2021-09-01)
Article
Accés obertThe digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination ... -
Usability study through a human-robot collaborative workspace experience
(Multidisciplinary Digital Publishing Institute, 2021-05-28)
Article
Accés obertThe use of collaborative robots (cobots) in industrial and academic settings facilitates physical and cognitive interaction with operators. This framework is a challenge to determine how measures on concepts, such as ... -
Cognitive Interaction Analysis in Human–Robot Collaboration Using an Assembly Task
(2021-05-31)
Article
Accés obertIn human–robot collaborative assembly tasks, it is necessary to properly balance skills to maximize productivity. Human operators can contribute with their abilities in dexterous manipulation, reasoning and problem solving, ... -
Condition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-12)
Article
Accés obertMaintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks ...