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Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)
The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ...
Impacto del factor comunitario (factor C) sobre el funcionamiento y resultados de empresas sociales de servicios sanitarios rurales
(Mondragon Unibertsitatea. Enpresagintza Fakultatea, 2022)
El Factor C fue definido en el marco de la Teoría Económica Comprensiva como aquella
energía social que surge de la unidad de conciencias, sentimientos y voluntades de un
grupo, tras un objetivo compartido (Razeto, 2017). ...
Los modelos mixtos de investigación en Ciencias Sociales
(Octaedro, 2022)
Aproximación multimétodo para medir el impacto de los factores de diseño en la apropiación de un software de inteligencia competitivaMultimethod approach to measure the design factor impact on the appropriation of a competitive intelligence interface
(Dyna, 2020)
La industria 4.0 y una vida laboral en continua transmutación, plantean preguntas acerca de cuáles serán las competencias que requerirán las personas para la correcta apropiación tecnológica y la mejora del desempeño. Este ...
Feeder mapping and load flow algorithms for LV distribution grids
(IEEE, 2021)
With the advent of the electric vehicle, distributed generation and other emerging technologies such as heat pumps, the complexity and uncertainty of LV Distribution Networks (LVDNs) is increasing. Advanced Metering ...
Experimental verification of the AC resistance effect in Insulated Metal Substrate based Power Converters
(IEEE, 2023)
Insulated Metal Substrate (IMS) based power converters are an excellent solution for thermal dissipation of power converters, but they suffer for limited layer options generating parasitic elements specially in High ...
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ...
IKARO: plataforma de benchmarking de algoritmos de fuzzing para sistemas embebidos
(Escola Politècnica Superior (EPS) de la Unversitat de Lleida (UdL), 2021)
La presencia de sistemas embebidos conectados aumenta progresivamente representando un desafío el poder actualizar vulnerabilidades una vez han sido desplegados en
campo. Por ello, es necesario optimizar la búsqueda de ...
MODDALS Methodology for Designing Layered Ontology Structures
(IOS Press, 2020)
Global ontologies include common vocabularies to provide interoperability among different applications. These ontologies require a balance of reusability-usability to minimise the ontology reuse effort in different ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...
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 ...
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)
Impact of long-term resource variations on wave energy Farms: The Icelandic case
(Elsevier, 2020)
Four decades (between 1979 and 2018) of the wave energy resource around Iceland are analysed in the present paper via the ERA5 reanalysis, the newest reanalysis of the European Centre for Medium-Range Weather Forecasts. ...
Damping characterisation of an elevator rope
(ISMA, 2022)
The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements. ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...
Design and analysis of a voltage ride-through testing solution based on a novel medium-voltage OLTC auto-transformer
(IEEE, 2023)
In this paper, a novel medium-voltage auto-transformer capable of generating under- and over-voltage conditions is introduced. The auto-transformer could emulate grid disturbances at 20kV, 30kV and 35kV, satisfying the ...