Recent Submissions
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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. ... -
Web Augmentation: A systematic mapping study
(Elsevier, 2024)The potential of Web Augmentation lies in the fact that all users need to adapt the content, style, or behavior of the web pages they visit. This is because every human being has different desires and needs, yet everyone ... -
Aproximación multimétodo para medir el impacto de los factores de diseño en la apropiación de un software de inteligencia competitiva
(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 ... -
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 ... -
HRM systems and employee affective commitment: the role of employee gender
(Emerald, 2020)Purpose Despite decades of studies on high-involvement human resource management (HRM) systems, questions remain of whether high-involvement HRM systems can increase the commitment of women. This study aims to contribute ... -
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ... -
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ... -
End-over-end (EoE) rotation of toroidal cans: An experimentally validated mathematical modelling study
(Elsevier, 2024)Toroidal cans have been presented recently to improve the canning process efficiency, and previous studies focused on static and axial rotational processes. End-over-End (EoE) rotation is a significant agitation approach ... -
An automatic thermo-mechanical testing apparatus for metal forming applications
(Elsevier, 2023)Dynamic testing of materials is necessary to model high-speed forming processes (e.g. hammer forging, blanking, forming, etc.) and crash/impact behaviour of structures, amongst others. The most common machines to perform ... -
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ... -
On the Definition of a Comprehensive Technology-Informed Accessibility Metric for Offshore Renewable Energy Site Selection
(MDPI, 2023)Despite the important role of offshore renewable energies (OREs) in the energy transition, the economical viability is still unclear. Therefore, an appropriate site selection is crucial. Besides the energy potential, the ... -
Sobre lo sagrado y la dimensión poético-antropológica del habla
(Instituto Teológico de Murcia O.F.M., 2024-01-15)El presente texto estudia la línea de diálogo entre Platón, Aristóteles, Humboldt y Heidegger acerca del fundamento del habla y su dimensión antropológica, a partir de obras selectas sobre filosofía del lenguaje. Se muestra ... -
The Measurement of Soret and Thermodiffusion Coefficients in Binary and Ternary Liquid Mixtures
(Springer Nature, 2023)This review provides an overview of the major, currently used techniques for investigating the Soret effect and measuring thermodiffusion and Soret coefficients, and in most cases also isothermal Fickian diffusion coefficients, ... -
Sensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approach
(Springer Nature, 2024)Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at ... -
Diffusion of hydrocarbons diluted in supercritical carbon dioxide
(Springer Nature, 2023)Mutual diffusion of six hydrocarbons (methane, ethane, isobutane, benzene, toluene or naphthalene) diluted in supercritical carbon dioxide ( CO2 ) is studied by molecular dynamics simulation near the Widom line, i.e., in ... -
Three-dimensional effects during thermocapillary-driven melting of PCMs in cuboidal containers in microgravity
(Elsevier, 2024)The melting of a phase change material (PCM) in a cuboidal domain under microgravity conditions is investigated numerically. The upper surface of the PCM is free (in contact with air, for example) and variations in its ... -
Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
(Springer, 2024)Thermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive ... -
Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort
(Elsevier, 2024)Purpose Periodontitis, a ubiquitous severe gum disease affecting the teeth and surrounding alveolar bone, can heighten systemic inflammation. We investigated the association between very severe periodontitis and early ... -
A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images
(MDPI, 2024)In industrial quality control, especially in the field of manufacturing defect detection, deep learning plays an increasingly critical role. However, the efficacy of these advanced models is often hindered by their need ... -
A holistic optimization tool for the design of power take-off systems in realistic wave climates: The Wells turbine case
(Elsevier, 2023)The growing demand of energy coupled with the worldwide commitments in favor of renewable technologies turns marine renewable sources especially attractive, including wave energy. In particular, the oscillating water column ...
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