Zerrendatu Artikuluak-Ingeniaritza honen arabera: ikerketa taldea "Teoría de la señal y comunicaciones"
33-tik 21-33 emaitza erakusten
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Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ... -
Measurement based Tapped Delay Line Model for Train-to-Train Communications
(IEEE, 2022)Train-to-train (T2T) communication is proposed as an auxiliary safety-guaranteed measure for railway communications. Vehicular communication standards have been supporting railway use cases and T2T communications. It is ... -
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
(2019)Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ... -
On the definition of a risk index based on long-term metocean data to assist in the design of Marine Renewable Energy systems
(Elsevier Ltd, 2021)Marine Renewable Energy (MRE) systems are designed to maximise energy generation and ensure survivability. The traditional design process is based on pure environmental conditions, tends to be too conservative and limits ... -
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 ... -
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
(Elsevier, 2024)The increased penetration of renewable energy sources (RESs) as an effective mechanism to reduce carbon emissions leads to an increased weather dependency for power and energy systems. This has created dynamic operation ... -
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
(Elsevier Ltd., 2022)The energy transition towards resilient and sustainable power plants requires moving from periodic health assessment to condition-based lifetime planning, which in turn, creates new challenges and opportunities for health ... -
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
(American Journal of Analogy, 2023)Background and Objectives Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether ... -
Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease
(Springer Nature, 2023)Background Cognitive decline has been reported in premanifest and manifest Huntington’s disease but reliable biomarkers are lacking. Inner retinal layer thickness seems to be a good biomarker of cognition in other ... -
Retinal thickness predicts the risk of cognitive decline in Parkinson's disease
(Wiley, 2021)Objective: To analyze longitudinal changes of retinal thickness and their predictive value as biomarkers of disease progression in idiopathic Parkinson’s disease (iPD). Methods: Patients with Lewy body diseases (LBDs) ... -
Spatial characterization of the effect of age and sex on macular layer thicknesses and foveal pit morphology
(PLoS, 2022)Characterizing the effect of age and sex on macular retinal layer thicknesses and foveal pit morphology is crucial to differentiating between natural and disease-related changes. We applied advanced image analysis techniques ... -
Survey on decentralized congestion control methods for vehicular communication
(Elsevier Ltd., 2022)Vehicular communications have grown in interest over the years and are nowadays recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an efficient management of the road traffic and ... -
Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems
(MDPI, 2021)A unified evaluation framework for stochastic tools is developed in this paper. Firstly, we provide a set of already existing quantitative and qualitative metrics that rate the relevant aspects of the performance of a ...