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Ikertzen 14
(2023)
(Re)Conceptualizando la Renovación Pedagógica en España. Una Revisión Sistemática: Uma revisão sistemática
(Universidad Autónoma de Madrid, 2023)
Fruto de los cambios y movimientos políticos y sociales de los últimos años, y para dar respuesta a los retos de la sociedad actual, los centros escolares se han encontrado con la necesidad de renovar sus prácticas educativas ...
La Renovación Pedagógica Hoy: Transformación y Defensa de lo Público y el Bien Común
(Universidad Autónoma de Madrid, 2023)
El trabajo de investigación que aquí se presenta es un intento por caracterizar el complejo concepto de la renovación pedagógica en el periodo actual. Tratando simultáneamente de delimitar este ...
Foveal Remodeling of Retinal Microvasculature in Parkinson’s Disease
(Frontiers, 2021)
Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular ...
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
(Elsevier, 2023)
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data-driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing ...
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ...
Long term EIT based compliance monitoring in COVID-19 patients
(De Gruyter, 2021)
The COVID-19 is a viral infection that causes respiratory complications. Infected lungs often present ground glass opacities, thus suggesting that medical imaging technologies could provide useful information for the disease ...
El comportamiento financiero de las cooperativas de trabajo asociado de MONDRAGON
(Mondragon Unibertsitatea. Enpresagintza Fakultatea, 2022)
Esta tesis estudia el comportamiento financiero de las sociedades cooperativas de trabajo
asociado (CTA) a través de una investigación con metodología mixta, cualitativa y
cuantitativa. Tradicionalmente la literatura ha ...
Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions
(Thieme, 2023)
Background. Synthetic tabular data generation is a potentially valuable technology with great promise for data augmentation and privacy preservation. However, prior to adoption, an empirical assessment of generated synthetic ...
A Generic Interface for x-in-the-Loop Simulations Based on Distributed Co-Simulation Protocol
(IEEE, 2023)
Co-simulation is a key step in the development of today’s complex cyber-physical systems (CPS), specially in the integration and validation activities. However, performing a co-simulation involving models developed in ...
Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
(Springer, 2023)
Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...
Effect of voids on the impact properties of Non-Crimp fabric carbon/epoxy laminates manufactured by liquid composite Moulding
(Elsevier, 2022)
A great effort has been made to quantify the detrimental effect of voids on CFRP, nevertheless, the effect on impact properties has been barely studied and when it has been considered, it has always been for prepeg materials ...
Effect of the crucible composition on the Inconel 718 vacuum induction melting process efficiency
(Elsevier, 2023)
Nickel-based superalloys are widely employed to manufacture aero-engine turbines due to their high mechanical strength and resistance to corrosion and creep. Vacuum Induction Melting (VIM) is a suitable manufacturing ...
Modelling the Non-linear fibre and matrix dominated compressive behaviour in unidirectional Fibre-reinforced composites
(Elsevier, 2023)
The mechanical behaviour of unidirectional fibre-reinforced composites is typically assumed to be linear elastic before failure. However, these materials exhibit nonlinear responses while being loaded in the matrix and ...
Shielded Reinforcement Learning: A review of reactive methods for safe learning
(IEEE, 2023)
Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...
Analysis of thermophoresis for separation of polystyrene microparticles in microfluidic devices
(Elsevier, 2022)
We analysed the thermodiffusion phenomenon both numerically and experimentally for size-based separation of polystyrene microparticles. For model validation, we followed previously published numerical studies using ANSYS ...
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
(IEEE, 2023)
The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ...
Cost-optimal Integration of Innovative Powertrain Technologies into Rail Vehicles
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
Railway is an essential transportation mode in nowadays society, both for passengers and goods. Considering that the relation between the carried passenger activity and the derived pollutant emissions is lower than in road ...