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 sarbide irekian erakundearen Sarbide Irekiko politikak betez:
Bere helburua da zientzia irekia sustatzea, unibertsitateko ekoizpen zientifiko eta akademikoaren ikusgarritasun eta eragina areagotzea, eduki digitalen babes segurua bermatzea eta estandar teknikoen bidez haien elkarreragingarritasuna erraztea.Doktore-tesiak, gradu eta master bukaerako lanak, 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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Playful learning in Spanish early childhood education: teachers’ attitudes and challenges
(Taylor & Francis Group, 2025-11-07)Across the globe, there is growing concern over ‘schoolification’ in early childhood education (ECE) – a trend that emphasizes high-stakes testing, narrowly defined learning goals, and rigid curriculum standards. Spain is ... -
Forecasting business exceptions in robotic process automation with machine learning
(2025)Business exceptions interrupt robotic process automation (RPA) workflows and oblige costly human intervention. This paper explores the application of machine learning (ML) time series forecasting techniques to predict ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Development and Validation of a cloud-based Digital Twin Platform of a Li-ion Batteries by means of Cell-Level Modelling
(2022)In this paper, a battery cell's electrical and thermal models have been parameterised and then validated on a Digital Twin Simulation Platform. Furthermore, these models have been integrated to analyse thermo-electric ... -
ASTRAL: Automated Safety Testing of Large Language Models
(IEEE, 2025)Large Language Models (LLMs) have recently gained significant attention due to their ability to understand and generate sophisticated human-like content. However, ensuring their safety is paramount as they might provide ...
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