Artikuluak-Ingeniaritza: Azken bidalketak
579-tik 1-20 emaitza erakusten
-
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 ... -
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 ... -
Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey
(Elsevier, 2023)Industrial Control Systems (ICSs) are a key technology for life-sustainability, social development and economic progress used in a wide range of industrial solutions, including Critical Infrastructures (CIs), becoming the ... -
MAWA: Enhancing mobile web browsing through web augmentation for improved user experience
(Elsevier, 2024)In recent years, mobile devices have witnessed an exceptional surge in web browsing, emerging as the primary information source. Developers, however, struggle to cater to every user’s needs, compelling users to customize ... -
Design and characterization of a novel lightweight multicomponent alloy Al58Zn28Mg6Si8
(Elsevier, 2023)This paper presents a novel multicomponent alloy Al58Zn28Mg6Si8, with a density of 3.46 g/cm3, which incorporates concepts from high entropy alloys. The optimum alloy composition was determined using the CALPHAD approach ... -
Influence of nanoparticles morphology in magnetic fluids
(Elsevier, 2024)In this work magnetic fluids at two different volume concentrations (5 % and 10 %) of magnetite nanoparticles of different morphologies and sizes (octahedral, 38 ± 5 nm; truncated octahedral, 10 ± 1 nm; rod-like, 95 nm x ... -
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
(MDPI, 2023)In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is ... -
High-Frequency Modelling of Electrical Machines for EMC Analysis
(MDPI, 2024)The trend towards electrification in mobility has led to the increased use of silicon carbide (SiC) semiconductors. These semiconductors are more efficient but also present challenges related to electromagnetic interference ...
