Exploració per tema "Artificial intelligence--Engineering applications"
Ara es mostren els items 1-20 de 21
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A deep learning pproach for the morphological recognition of reactive lymphocytes in patients with COVID-19 infection
(2022-05-23)
Article
Accés obertLaboratory medicine plays a fundamental role in the detection, diagnosis and management of COVID-19 infection. Recent observations of the morphology of cells circulating in blood found the presence of particular reactive ... -
A long-short-term-memory neural network approach to early fault detection of wind turbines' main bearing based only on SCADA data.
(2023)
Comunicació de congrés
Accés obert -
An OSA-CBM Multi-Agent Vehicle Health Management Architecture for Self-Health Awareness
(2007-06)
Article
Accés obertIntegrated Vehicle Health Management (IVHM) systems on modern aircraft or autonomous unmanned vehicles should provide diagnostic and prognostic capabilities with lower support costs and amount of data traffic. When mission ... -
Analysis of the cardiorespiratory pattern of patients undergoing weaning using artificial intelligence
(2023-03-01)
Article
Accés obertThe optimal extubating moment is still a challenge in clinical practice. Respiratory pattern variability analysis in patients assisted through mechanical ventilation to identify this optimal moment could contribute to this ... -
Anomaly-based fault detection in wind turbine main bearings
(Copernicus Office, 2023-04-14)
Article
Accés obertRenewable energy is a clean and inexhaustible source of energy, so every year interest in the study and the search for improvements in production increases. Wind energy is one of the most used sources of energy, and therefore ... -
Aplicación de una herramienta de análisis emocional en una plataforma de medios sociales
(Universitat Politècnica de Catalunya, 2023-10-10)
Treball Final de Grau
Accés obertEste proyecto de investigación se centra en la creación de una plataforma web innovadora destinada a apoyar a los streamers de Twitch, la popular plataforma de transmisión en vivo. El objetivo principal es proporcionar ... -
Artificial intelligence for wind turbine condition monitoring
(2023-02-07)
Article
Accés obert -
Automated Inspection of Railway Track Faults Based on Image Datasets
(Universitat Politècnica de Catalunya, 2022-08)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autor
Realitzat a/amb: Cranfield UniversityManual inspections of railway tracks continue to have an impact on the number of accidents they cause each year. The lack of accuracy of the human factor continues to cause catastrophes in the railway sector. In recent ... -
Challenge 4: Intelligent robotics
(Consejo Superior de Investigaciones Científicas (CSIC), 2021)
Capítol de llibre
Accés restringit per política de l'editorialIntelligent robotics are called to be the next revolution by providing AI with the capability of interacting with the physical world. Robots are overpassing their cages in the industry to become intelligent machines that ... -
Classificació d'àudio amb Deep Learning
(Universitat Politècnica de Catalunya, 2019-05-27)
Treball Final de Grau
Accés obertL'objectiu principal d'aquest projecte ha sigut aprendre sobre el món del Deep Learning i les xarxes neuronals intentant entendre els conceptes principals més importants en el cas del ́àudio i posar-ho en pràcticarealitzant ... -
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach
(Elsevier, 2024-01-01)
Article
Accés restringit per política de l'editorialDifferent kinds of fire accidents can occur during industrial activities that involve hazardous materials, such as jet fires, which are often involved in a process known as a domino effect that generates a sequence of other ... -
Counter a drone and the performance analysis of deep reinforcement learning method and human pilot
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertArtificial Intelligence (AI) has been used in different research areas in aerospace to create an intelligent system. Especially, an unmanned aerial vehicle (UAV), known as a drone, can be controlled by AI methods such ... -
Detection of abnormal operation of PV inverters based on regressive prediction models with recursive least squares training
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
Article
Accés obertThe large scale integration of photovoltaic (PV) power plants has launched the massive deployment of PV inverters. In fact, just a single multi-MW PV plant may have thousands of them, which can be also found isolated in ... -
Detection of jacket offshore wind turbine structural damage using an 1D-convolutional neural network with a support vector machine layer
(Institute of Physics (IOP), 2022-05-01)
Article
Accés obertBecause offshore wind turbines, particularly their foundations, operate in hostile environments, implementing a structural health monitoring system is one of the best ways to monitor their condition, schedule maintenance, ... -
Eina d'anotació semiautomàtica d'imatges amb models Deep learning
(Universitat Politècnica de Catalunya, 2022-07-11)
Treball Final de Grau
Accés obertActualmente, la anotación manual en detección de objetos es lenta, tediosa y cara. Este problema afecta a sectores como la agricultura que busca mejorar sus procesos de detección de fruta mediante la Inteligencia Artificial. ... -
Fast bi-monocular visual odometry using factor graph sparsification
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertVisual navigation has become a standard in robotic applications with the emergence of robust and versatile algorithms. In particular, Visual Odometry (VO) has proven to be the most reliable navigation solution for space ... -
Operational modes detection in industrial gas turbines using an ensemble of clustering methods
(2021-12-01)
Article
Accés obertOperational modes of a process are described by a number of relevant features that are indicative of the state of the process. Hundreds of sensors continuously collect data in industrial systems, which shows how the ... -
Previsió del web crippling i optimització d'estructures amb intel·ligència artificial
(Universitat Politècnica de Catalunya, 2024-02-21)
Treball Final de Grau
Accés obertL'ús de la intel·ligència artificial (IA) en la societat actual ha augmentat significativament en els últims anys, amb un profund impacte no sols en la nostra vida diària sinó també en altres àmbits que poden semblar més ... -
SCADA data-driven wind turbine main bearing fault prognosis based on principal component analysis
(Institute of Physics (IOP), 2022-05-01)
Article
Accés obertCondition monitoring for wind turbines is essential for the further development of wind farms. Currently, many of the works are focused on the installation of new sensors to predict turbine failures, which raises the cost ... -
Wind turbine blade damage detection using data-driven techniques
(2023-07-01)
Article
Accés obertThis work presents a simple damage detection strategy for wind turbine blades. In particular, a vibration analysis-based damage detection methodology is proposed that requires only healthy data and detects damage in different ...