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Modelo ASIG para dinámicas online
(Universidad de La Laguna, 2021)
La situación que vivimos de transformación digital ha subrayado que los entornos online son un espacio útil para el aprendizaje. Sin
embargo, no siempre es fácil diseñar y desarrollar dinámicas que, en
desapego a los ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Physicochemical characterization of hydrophobic type III and type V deep eutectic solvents based on carboxylic acids
(Elsevier, 2023)
In the present work, novel type III and type V deep eutectic solvents (DESs) were prepared by mixing choline chloride (ChCl), tetrabutylammonium chloride (TBAC) or thymol as HBA, and different alkyl chain length carboxylic ...
Search-based Test Case Selection for PLC Systems using Functional Block Diagram Programs
(IEEE, 2023)
Programmable Logic Controllers (PLCs) are the core unit of the production system, which frequently need to implement new processes to address customer needs. These changes must be fully tested to ensure the reliability of ...
Integrando los ODS en el grado de Ingeniería Informática
(Universitat d'Alacant, 2023)
El nuevo marco establecido por el Real Decreto 822/2021 estableció que los y las profesionales surgidos de las universidades tienen que ser capaces de liderar transformaciones ’claramente alineadas con los Objetivos de ...
Towards robust defect detection in casting using contrastive learning
(Springer, 2023)
Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the occasional emergence of new defects in the production line poses a significant ...
Teaching Model-Based Systems Engineering with MATLAB & Simulink for Smart Energy Systems
(2023)
Developing complex and smart energy systems is a challenge for today's industry. Systems are developed consisting of power hardware, control and communication hardware, and software of all kinds with more and more connectivity. ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics
(Elsevier, 2020)
In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladradoQualitative estimation of the roughness using automatic learning algorithms in a drilling operation
(Federación de Asociaciones de Ingenieros Industriales de España, 2020)