Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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A performance-based taxonomy of entrepreneurial universities
(InderScience, 2018)The European higher education landscape has experienced dramatic changes in the last decades and the entrepreneurial university has turned into a potential solution to these perceived problems. Therefore, this paper proposes ... -
Performance-Driven Metamorphic Testing of Cyber-Physical Systems
(IEEE, 2022)Cyber-physical systems (CPSs) are a new generation of systems, which integrate software with physical processes. The increasing complexity of these systems, combined with the uncertainty in their interactions with the ... -
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 ... -
Petri net-based semi-compiled code generation for programmable logic controllers
(MDPI, 2021)Industrial discrete event dynamic systems (DEDSs) are commonly modeled by means of Petri nets (PNs). PNs have the capability to model behaviors such as concurrency, synchronization, and resource sharing, compared to a step ... -
Phase-shifted imaging on multi-directional induction thermography
(Springer Nature, 2023)A novel multi-directional eddy current thermography (ECT) system is presented generating sets of directional phase images that have been fused with a processing pipeline allowing for an improved probability of detection ... -
Physico-chemical parameter measurement and model response evaluation for a pseudo-two-dimensional model of a commercial lithium-ion battery
(Elsevier, 2021)To effectively evaluate battery performance by means of electrochemical modelling, a consistent set of parameters is essential. The aim of this work is to provide a complete physico-chemical methodology to measure all the ... -
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 ... -
Plasticity evolution of an aluminum-magnesium alloy under abrupt strain path changes
(Springer, 2022)During the forming and manufacturing of engineering materials, plasticity behavior could be evolving significantly due to complex deformation history. Therefore, this study aims to characterize the plasticity evolution of ... -
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 ... -
A population-specific material model for sagittal craniosynostosis to predict surgical shape outcomes
(Springer Nature, 2020)Sagittal craniosynostosis consists of premature fusion (ossification) of the sagittal suture during infancy, resulting in head deformity and brain growth restriction. Spring-assisted cranioplasty (SAC) entails skull incisions ... -
The Positive Loop at Work: A Longitudinal Long-Term Study of Transformational Leadership, Group Passion, and Employee Result
(Frontiers Media S.A., 2021)Positive psychology and positive organizational behavior studies recognize that leadership is extremely important for generating positive well-being. Despite the frequently reported significant positive correlations, the ... -
Post-forming, electro-plastic effect internal stress reduction in AA5754 aluminium alloy
(Elsevier, 2022)Aluminium alloys are one of the most efficient materials for weight reduction in the car industry. However, the favourable performance of alloys conflicts with the difficulties of transforming these materials through plastic ... -
A post-processing technique for removing ‘irregular frequencies’ and other issues in the results from BEM solvers
(European Wave and Tidal Energy Conference, 2022)Within the wave energy community, hydrodynamic coefficients obtained from boundary element methods (BEMs) are commonly used to predict the behaviour of wave energy converters (WECs) in response to incident waves. A number ... -
Power Balancing in Cascaded H-Bridge and Modular Multilevel Converters Under Unbalanced Operation: A Review
(IEEE, 2021)Multilevel Voltage-Source Converters (VSC) based on modular structures are envisioned as a prominent alternative for grid and industry applications. Foremost among these are the Cascaded H-Bridge (CHB) and the Modular ... -
Power Capability Boundaries for an Inverter Providing Multiple Grid Support Services
(MDPI AG, 2020)It is getting more common every day to install inverters that o er several grid support services in parallel. As these services are provided, a simultaneous need arises to know the combined limit of the inverter for those ... -
Power-Electronic-Based DC Distribution Systems for Electrically Propelled Vessels: A multivariable Modeling Approach for Design and Analysis
(IEEE, 2017)The benefits of using power-electronic-based dc distribution systems in electrically propelled vessels are well known. However, some aspects must be deeply analyzed to guarantee a safe, robust, and stable system by design. ... -
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
(MDPI, 2023)Background: The emergency department (ED) is often overburdened, due to the high influx of patients and limited availability of attending physicians. This situation highlights the need for improvement in the management of, ... -
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 ... -
Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network
(MDPI, 2022)A known problem of additive manufactured parts is their poor surface quality, which influences product performance. There are different surface treatments to improve surface quality: blasting is commonly employed to improve ...
