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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 ...
Soft sensing force measurement approach in sheet metal forming facilities
(IOP Publishing, 2020)
Process stability and facility security are the two main purposes for measuring the force in sheet metal forming facilities. These two purposes look for guaranteeing the good health of the facility avoiding overloads and ...
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 ...
An Improved Explicit Reference Modeling Methodology for Parametric Design
(Elsevier, 2023)
The use of formal methodologies for parametric modeling has been shown to significantly improve the robustness and reusability of feature-based CAD models, particularly in response to changes, which has implications in the ...
A Preliminary Study on the Quality of Joining AISI 316 and AISI 3415 Steel by the Near Solidus Forming Process
(MDPI, 2023)
In this study, the Near Solidus Forming (NSF) process, which falls under the umbrella of semi-solid processes, was utilized to coforge an AISI 316 tube and an AISI 3415 rod into an as-forged valve geometry. The billet used ...
The composite improved generalized steinmetz equation (ciGSE): an accurate model combining the composite waveform hypothesis with classical approaches
(IEEE, 2024)
Predicting core losses is a difficult task for designing magnetic components. Under triangular current waveforms the classical approaches work with duty cycles close to 0.5 but are inaccurate for high and low duty cycles. ...
Implementation of Project-Based Learning for Design of Experiments Using 3D Printing
(OmniaScience, 2023)
Purpose:This paper aims to present how the project-based learning (PBL) methodology wasimplemented in the Faculty of Engineering of Mondragon Unibertsitatea, located in The Basque Country,Spain, during ...