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Performance Improvement of a Silicon Partial Power Converter over a Silicon Carbide Full Power Converter
(IEEE, 2023)
This article studies the new benefits that partial power processing brings to Silicon (Si) devices compared to wide-bandgap technologies. To prove this, the proposed case study consists of an on-board charger (OBC) application ...
Classification of Industrial Sectors Based on Their Profiles of Greenhouse Gas Emissions and Policy Implications
(OmniaScience, 2023)
Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency.
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Number-phase uncertainty relations and bipartite entanglement detection in spin ensembles
(Quantum, 2023)
We present a method to detect bipartite entanglement based on number-phase-like uncertainty relations in split spin ensembles. First, we derive an uncertainty relation that plays the role of a number-phase uncertainty for ...
(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 ...
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 ...
A proper orthogonal decomposition analysis upon aerodynamic structures under clean and rough conditions
(AIP Publishing, 2023)
A transitional flow regime is known to induce complex flow structures upon aerodynamic geometries such as airfoils, and the dynamics of laminar separation bubbles (LSBs) pose a relevant research field. In addition to being ...
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 ...