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On-site estimation of battery electrochemical parameters with physics-informed neural networks in dynamic current profiles
(2025)The accurate on-site estimation of battery electrochemical parameters is crucial for optimal battery management, enabling advanced control strategies and reliable prognostics. However, physics-based methods often suffer ... -
EAEko Derrigorrezko Bigarren Hezkuntzako curriculumaren aukerak eta hutsuneak diseinu konpetentzien garapenean STEM hezkuntzaren testuinguruan
(Udako Euskal Unibertsitatea (UEU), 2025)Ikerlan honetan, Euskal Autonomia Erkidegoko (EAE) Derrigorrezko Bigarren Hezkuntzako curriculumak, STEM hezkuntzaren testuinguruan, Rusmann eta Ejsing-Duun autoreen (2022) markoan definitutako diseinu konpetentziak ... -
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 ... -
Experimental Dynamic Saturation Current Evaluation of 650V GaN GITs
(VDE Verlag, 2025)This study investigates the dynamic behavior of the saturation current in 650 V Gallium Nitride (GaN) Gate Injection Transistors (GIT), a key parameter for power electronics. Experimental results show that the saturation ... -
Multi-Objective Metamorphic Follow-up Test Case Selection for Deep Learning Systems
(ACM, 2022)Deep Learning (DL) components are increasing their presence in safety and mission-critical software systems. To ensure a high dependability of DL systems, robust verification methods are required, for which automation is ... -
Assessment of Scope 3 Emissions in European Automotive Value Chains
(Springer, 2025)This study analyses domestic greenhouse gas (GHG) emissions in the automotive value chains of twelve European countries, selected based on their gross domestic product (GDP) to represent a cross-section of economic scales ... -
Comparative Analysis of TSD and NTC-Based Temperature Measurement for Power Semiconductor Modules
(IEEE, 2025)Accurate temperature estimation is essential for ensuring the reliability and performance of power semiconductor devices. This paper presents various techniques used in the industry and focuses on a comparative analysis ... -
EMI prediction based on datasheet parameters for hard-switched Si, SiC, and GaN MOSFETs
(IEEE, 2025)Wide bandgap (WBG) semiconductors such as Silicon Carbide (SiC) and Gallium Nitride (GaN) enable improved power converter efficiency due to better material characteristics. However, their faster switching dynamics introduce ... -
Battery Heterogeneity Challenge: From Single to Multiple Cell System Modelling
(2025)Significant efforts have been dedicated to optimising the performance of battery systems by improving energy management and battery sizing strategies. Recent advancements have shifted their focus on model-based optimisations ... -
Bridging the Gap between ECMs and PBMs: Electrode-level Extended ECM
(2025)Accurate and efficient Li-ion battery models are essential for control, diagnostics, and system-level integration. While physics-based models (PBMs) offer detailed electrochemical insight, they are often too complex for ... -
Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
(IEEE, 2025)Federated Learning (FL) is an emerging machine learning paradigm that enables multiple parties to collaboratively train models without sharing raw data, ensuring data privacy. In Vertical FL (VFL), where each party holds ... -
Assessing Sustainability in Subregional Industrial Value Chains: Opportunities and Challenges
(Springer, 2025)This article examined the opportunities and challenges of mapping emissions associated with value chains in a subregional context, using the Basque Country as a case study. By leveraging symmetric input–output tables, the ... -
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; ...
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