eBiltegia - Mondragon Unibertsitateko biltegi digitala
Mondragon Unibertsitateko Biltegi digitalak unibertsitatean jarduera akademiko, ikertzaile eta instituzionalaren emaitza gisa sortutako dokumentuen testu osoa eskuratzeko aukera ematen du. Bere helburua da unibertsitateko ekoizpen zientifiko eta akademikoari ikusgarritasun handiagoa ematea, haren eragina handitzea eta haren babesa ziurtatzea, erakundearen Sarbide Irekiko politikak betez:
Doktore-tesiak, karrera amaierako proiektuak, material didaktikoa, unibertsitateko argitalpenak, lan-dokumentuak, preprintak, postprintak, artikuluak, kongresuetako aktak, datu-sortak, dokumentu instituzionalak eta abar aurkitu ahal izango dituzu.
Komunitateak eBiltegian
Erantsitako azken lanak
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An Interactive Game-based Learning Framework with a Social Robot to Promote Well-being of Dyslexic Children
(2023)This paper presents the preliminary design and development of a generalized Child-Robot-Interaction framework involving interactive game-play between the socially assistive robot NAO and children with varying types of ... -
O&M-aware techno-economic assessment for floating offshore wind farms: A geospatial evaluation off the North Sea and the Iberian Peninsula
(Elsevier, 2024)The development of accurate techno-economic models is crucial to boost the commercialisation of floating offshore wind farms. However, conventional techno-economic models oversimplify operation and maintenance (O&M) aspects, ... -
Desarrollo de herramientas para el diseño accesible. Caso de interfaces de electrodomésticos
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)The ageing of the population is a reality. Along with this ageing, the prevalence of disability and diversity in the population is increasing. The World Health Organisation estimates that there are more than one billion ... -
Impact performance prediction of as-manufactured Resin Transfer Moulding composites using Machine Learning based Digital Twin
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)The use of lightweight materials has demonstrated to be very energy efficient in the transport sector, reducing the consumption of fossil fuels and increasing the range of electric cars. Carbon fibre reinforced polymers ... -
Explainable Artificial Intelligence for Industrial Anomaly Diagnosis in Multi-Sensor Data
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)This thesis explores the potential of Explainable Artificial Intelligence (XAI) in the context of time-series anomaly detection and diagnosis. By enhancing the transparency of traditionally opaque models and offering ...
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