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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
Restricted access - confidentiality agreementAdvances 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
Open AccessThis 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 ... -
Autoencoders for semi-supervised water level modeling in sewer pipes with sparse labeled data
(2022-01-24)
Article
Open AccessMore 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
Open AccessOperational 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
Open AccessCondition 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
Open AccessThe 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
Open AccessThe 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
Open AccessIn 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
Open AccessMaintenance 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 ... -
Generating synthetic ecgs using gans for anonymizing healthcare data
(2021-01-01)
Article
Open AccessIn personalized healthcare, an ecosystem for the manipulation of reliable and safe private data should be orchestrated. This paper describes an approach for the generation of synthetic electrocardiograms (ECGs) based on ... -
Cognitive robotics and control
(2020-05-06)
Article
Open Access -
Fusing hotel ratings and reviews with hesitant terms and consensus measures
(2020-02-27)
Article
Open AccessPeople have come to refer to reviews for valuable information on products before making a purchase. Digesting relevant opinions regarding a product by reading all the reviews is challenging. An automated methodology which ...
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