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Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6
(Elsevier, 2024)
The design of the different offshore renewable energy (ORE) technologies depends on the characteristics of wind/wave resources. However, these characteristics are not stationary under climate change. In this study the ...
A comprehensive experimental investigation of the rate-dependent interlaminar delamination behaviour of CFRP composites
(Elsevier, 2023)
The paper presents a systematic experimental study of the interlaminar delamination behaviour of a carbon composite subjected to Mode I, Mode II and Mixed-mode delamination at both quasi-static (QS) and high-rate (HR) ...
Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing
(Elsevier, 2024)
Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The ...
Testing the verification and validation capability of a DCP-based interface for distributed real-time applications
(MDPI, 2023)
Cyber–physical systems (CPS) integrate diverse elements developed by various vendors, often dispersed geographically, posing significant development challenges. This paper presents an improved version of our previously ...
Development and Comparison of Rule- and Machine Learning-Based EMS for HESS Providing Grid Services
(IEEE, 2024)
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics, ...
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)
The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ...
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 ...
Impacto del factor comunitario (factor C) sobre el funcionamiento y resultados de empresas sociales de servicios sanitarios rurales
(Mondragon Unibertsitatea. Enpresagintza Fakultatea, 2022)
El Factor C fue definido en el marco de la Teoría Económica Comprensiva como aquella
energía social que surge de la unidad de conciencias, sentimientos y voluntades de un
grupo, tras un objetivo compartido (Razeto, 2017). ...