Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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Foveal Remodeling of Retinal Microvasculature in Parkinson’s Disease
(Frontiers, 2021)Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular ... -
FPGA-Based Degradation and Reliability Monitor for Underground Cables
(MDPI AG, 2019)The online Remaining Useful Life (RUL) estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. Monte Carlo (MC) simulations of complex thermal ... -
A Framework For Product Design Based On Semantic Attribution Process
(Taylor & Francis, 2017)Existing brands already have certain products that generate a particular experience in customer minds. Every time a customer’s interacts with of brand’s products and related touchpoints, the customer form an idea about the ... -
Framework to evaluate continuous improvement process efficacy: a case study of a capital goods company
(2020)Purpose: This document describes a continuous improvement process assessment system (CIPAS). A continuous improvement process (CIP) was developed to progress through the levels of continuous improvement (CI) defined by ... -
Frequency-Dependent Pi Model of a Three-Core Submarine Cable for Time and Frequency Domain Analysis
(MDPI AG, 2018-10-16)In this paper, a Frequency-Dependent Pi Model (FDPi) of a three-core submarine cable is presented. The model is intended to be used for the representation of submarine cables in an Offshore Wind Power Plant (OWPP) scenario ... -
Friction Modelling for Tube Hydroforming Processes : A Numerical and Experimental Study with Different Viscosity Lubricants
(MDPI, 2022)The final quality of sheet and tube metal–formed components strongly depends on the tribology and friction conditions between the tools and the material to be formed. Furthermore, it has been recently demonstrated that ... -
Friction Stir Welding of AA2099-T83 and AA2060-T8E30 Aluminium Alloys with New Cr-Free Surface Treatments and Sealant Application
(MDPI, 2021)The feasibility for friction stir welding (FSW) surface-treated AA2099-T83 aluminium extrusions with AA2060-T8E30 aluminium sheets in the overlap configuration and using a sealant at the interface was investigated in this ... -
FTIR as a Powerful Tool for Measurements of Diffusion in Supercritical Carbon Dioxide Using Taylor Dispersion Method
(MDPI, 2022)A new experimental high-pressure setup for measuring diffusion coefficients in supercritical fluids, based on Taylor dispersion method, and using an FTIR detector to operate up to 25.0 MPa was designed and optimized. Tracer ... -
Fully pipelined implementation of tree-search algorithms for vector precoding
(Hindawi, 2013)The nonlinear vector precoding (VP) technique has been proven to achieve close-to-capacity performance in multiuser multipleinput multiple-output (MIMO) downlink channels. The performance benefit with respect to its linear ... -
Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury
(Oxford Academic, 2023)Severe traumatic brain injury can lead to transient or even chronic disorder of consciousness. To increase diagnosis and prognosis accuracy of disorder of consciousness, functional neuroimaging is recommended 1 month ... -
Fundamentos básicos del acoplamiento inductivo y rol de los condensadores de desacoplo
(Federación de Asociaciones de Ingenieros Industriales de España, 2022)El acoplamiento electromagnético es el mecanismo con el que un circuito induce ruido o interferencia en otro circuito adyacente. Este mecanismo de acople genera Interferencias Electromagnéticas que degradan o incluso ... -
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. ... -
Fuzzing the Internet of Things: A Review on the Techniques and Challenges for Efficient Vulnerability Discovery in Embedded Systems
(IEEE, 2021)With a growing number of embedded devices that create, transform and send data autonomously at its core, the Internet-of-Things (IoT) is a reality in different sectors such as manufacturing, healthcare or transportation. ... -
Gallium Nitride Power Devices: A State of the Art Review
(IEEE, 2023)Wide Bandgap (WBG) semiconductor materials present promising electrical and thermal characteristics for Power Electronics applications. These WBG devices make it possible the development of more efficient converters with ... -
Gamification and discovery learning: Motivating and involving students in the learning process
(Elsevier, 2023)The widespread use of new technologies by students has forced universities to include active methodologies in their pedagogy. This process has accelerated due to the COVID-19 pandemic, introducing innovative changes in ... -
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021)Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ... -
A Generic Interface for x-in-the-Loop Simulations Based on Distributed Co-Simulation Protocol
(IEEE, 2023)Co-simulation is a key step in the development of today’s complex cyber-physical systems (CPS), specially in the integration and validation activities. However, performing a co-simulation involving models developed in ... -
Getting fair institutional conditions for district heating consumers: Insights from Denmark and Sweden
(Elsevier Ltd., 2021)District heating is expected to play an important role in the EU for the implementation of a low carbon energy system with high shares of renewables. Empirical examples from several countries show that district heating ... -
Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
(MDPI, 2022)The introduction of collaborative robots in industrial environments reinforces the need to provide these robots with better cognition to accomplish their tasks while fostering worker safety without entering into safety ... -
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(IEEE, 2023)The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ...
