Research - Conferences
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Time saving analytical modelling and design of PCBS with through-hole and blind thermal vias
(IET, 2025)High-power-density converters concentrate heat in smaller areas of printed circuit boards (PCBs), a challenge exacerbated by Gallium Nitride (GaN)-based components in surface-mount device (SMD) packages. While these ... -
The Influence of Counterbalance System on the Dynamic Characterization of Heavy Industrial Robots
(IEEE, 2025)The precision of industrial robots is often limited by the relatively low stiffness of their joints, leading to positioning errors influenced by factors such as the mass and inertia of robotic links, external forces, and ... -
QualityLink: a new Interoperable Architecture for Exchanging Quality Data on Learning Opportunities
(EDEN Digital Learning Europe, 2025)The QualityLink project focuses on aggregating basic descriptions and quality indicators on learning opportunities leading to micro-credentials. Currently, such data is often hidden completely or not published in interoperable ... -
Quality Link: The Standards and Quality Criteria for Learning Opportunities, Leading to Micro-Credentials
(EDEN Digital Learning Europe, 2025)QualityLink is an Erasmus+ project which focuses on aggregating quality indicators on learning opportunities leading to micro-credentials. The QualityLink project expert group set out the list of possible quality domains ... -
From Classroom to Community: Student Civic Engagement for Future Skills Learning
(EDEN Digital Learning Europe, 2025)Civic participation is a multidisciplinary concept that refers to the active involvement of individuals in community initiatives. It encompasses voluntary actions aimed at collective well-being (Cnaan and Park, 2016; ... -
How Do Deep Learning Faults Affect AI-Enabled Cyber-Physical Systems in Operation? A Preliminary Study Based on DeepCrime Mutation Operators
(IEEE, 2023)Cyber-Physical Systems (CPSs) combine digital cyber technologies with physical processes. As in any other software system, in the case of CPSs, the use of Artificial Intelligence (AI) techniques in general, and Deep Neural ... -
Hedonomic pyramid to enhance student experience in higher education: a conceptual framework
(Universitat Politècnica de València, 2025)This paper introduces the Hedonomic Pyramid as a conceptual framework for enhancing the Student Experience (SX) in Higher Education (HE). Based on Maslow’s hierarchy of needs, it structures SX into five hierarchical levels: ... -
Evaluación de la percepción de la formación dual en la formación inicial de maestros
(REPPE, Asociación para el Desarrollo del Prácticum y de las Prácticas Externas: Red de Prácticum, 2025) -
Observación para el acompañamiento en el Prácticum: una experiencia con la plataforma "Mestres que formen Mestres"
(REPPE, Asociación para el Desarrollo del Prácticum y de las Prácticas Externas: Red de Prácticum, 2025) -
Towards a high-fidelity simulation environment for structural integrity assessment of floating wind energy platforms
(CRC Press, 2020)The present paper presents a preliminary study on the structural integrity analysis of Floating Offshore Wind Turbine (FOWT) platforms, using different methods to compute hydrodynamic loads and determine the deformation ... -
Thrust ripple optimisation method for linear switched-flux machines
(IEEE, 2020)Linear switched-flux machines are a very promising technology thanks to their high thrust density and permanent magnet immunity. However, they usually have to deal with a high detent force and a high thrust force ripple. ... -
Generalized SMOTE: A universal generation oversampling technique for all data types in imbalanced learning
(CAEPIA, 2021)A common problem that arises when facing classification tasks is the class imbalance problem, which happens when one or more classes are heavily underrepresented compared to the rest, being usually those minority classes ... -
Analysis of Latency and Reliability Improvement with Multi-Link Operation over 802.11
(IEEE, 2021)With the uprising of new fields such as robotics, IoT or Augmented Reality, one of the main objectives of industrial modernization is the incorporation of safe and secure wireless technologies in the factory floor. However, ... -
Optimisation of an Automotive Permanent Magnet Motor with Low Coercivity Recycled Magnets Considering Demagnetisation
(IEEE, 2025)Permanent Magnets (PM) containing Rare Earth Elements (REE) are widely used in the automotive industry to achieve power-dense and efficient motor designs. However, their supply chain is highly vulnerable and subject to ... -
Comparative Study on Torque Ripple Reduction Techniques for an Automotive Permanent Magnet Motor without Skew
(IEEE, 2025)Permanent magnet motors are a good choice for Electric Vehicles (EV) due to their high power density and efficiency. Additionally, reducing torque ripple is important to ensure comfortable and silent vehicles. To achieve ... -
Practical training in industrial statistics and design of experiments in higher education
(Springer Nature, 2025)The effective teaching of statistical concepts and experimental design is vital in engineering education, yet educators often face challenges in imparting these skills due to their abstract nature. This article proposes ... -
Estrategias Institucionales para Fomentar la Participación de los Estudiantes No Tradicionales en la Educación Superior
(Pontificia Universidad Católica Madre y Maestra, 2023)La gran mayoría de las políticas diseñadas e implantadas en las instituciones de educación superior (IES) se orientan a sistemas de representación y participación de estudiantes tradicionales, no dando respuesta a aquellos ... -
Co-creation for service portfolio reconfiguration in digital servitization
(OmniaScience, 2024)Value proposition design in digital servitization requires alternative design approaches to avoid what is known in servitization literature as the “service paradox,” where significant efforts in expanding the service ... -
MAWA: A Browser Extension for Mobile Web Augmentation
(Springer Nature, 2021)In recent years, the usage of mobile browsers has experienced an astonishing growth. Nowadays, most citizens use their mobile phones instead of their laptops to surf the Web for immediate availability. Nevertheless, Web ... -
A novel methodology for the characterization of cutting conditions in turning processes using Machine Learning models and Acoustic Emission Signals
(Springer Nature, 2021)In the last few years, the industry requires to know in real-time the condition of their assets. Acoustic Emission (AE) technique has been widely used to understand the real-time condition of manufacturing processes such ...
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