eBiltegia - Mondragon Unibertsitateko biltegi digitala
Mondragon Unibertsitateko biltegi digitalak unibertsitateko jarduera akademiko, ikertzaile eta instituzionalak sortutako dokumentuetara sarbide irekia ematen du. Bere helburua unibertsitateko ekoizpen zientifiko eta akademikoari ikusgaitasuna gehitzea, eragina areagotzea eta babesa bermatzea da.
Bertan aurkituko dituzu: tesi doktoralak, karrera amaierako proiektuak, material didaktikoa, unibertsitateko argitalpenak, lan-dokumentuak, preprint-ak, postprint-ak, artikuluak, kongresuetako aktak, dokumentu instituzionalak, etab.
Komunitateak eBiltegian
Erantsitako azken lanak
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Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ... -
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ... -
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ... -
poliSPAM: Analisis de la eficiencia del spam personalizado utilizando informacion publica de redes sociales
(Mondragon Unibertsitatea, 2012)Las campañas de envío de correos electrónicos no deseados siguen siendo una de las mayores amenazas que afectan a millones de usuarios al día. Si bien los filtros antispam son capaces de detectar y rechazar un número elevado ... -
SURF and MU-SURF descriptor comparison with application in soft-biometric tattoo matching applications
(Mondragon Unibertsitatea, 2012)In this work a comparison of the SURF and MUSURF feature descriptor vectors is made. First, the descriptors’ performance is evaluated using a standard data set of general transformed images. This evaluation consists in ...