Ara es mostren els items 1-20 de 21

    • A deep learning pproach for the morphological recognition of reactive lymphocytes in patients with COVID-19 infection 

      Rodellar Benedé, José; Barrera Llanga, Kevin Iván; Alférez Baquero, Edwin Santiago; Boldú Nebot, Laura; Laguna Moreno, Javier; Molina Borrás, Ángel; Merino González, Anna (2022-05-23)
      Article
      Accés obert
      Laboratory 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. 

      Vidal Seguí, Yolanda; Puruncajas Maza, Bryan; Castellani, Francesco; Tutivén Gálvez, Christian (2023)
      Comunicació de congrés
      Accés obert
    • An OSA-CBM Multi-Agent Vehicle Health Management Architecture for Self-Health Awareness 

      Angulo Bahón, Cecilio; González, Gustavo; Raya Giner, Cristóbal; Català Mallofré, Andreu (2007-06)
      Article
      Accés obert
      Integrated 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 

      Pinto, Jorge; Gonzalez Acevedo, Hernando; Arizmendi Pereira, Carlos Julio; González Acuña, Hernan; Muñoz Maldonado, Yecid Alfonso; Giraldo Giraldo, Beatriz (2023-03-01)
      Article
      Accés obert
      The 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 

      Campoverde-Vilela, Lorena; Feijóo, Maria del Cisne; Vidal Seguí, Yolanda; Sampietro Saquicela, José Luis; Tutivén Gálvez, Christian (Copernicus Office, 2023-04-14)
      Article
      Accés obert
      Renewable 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 

      Akinsanmi Ruiz, Kegan Michael (Universitat Politècnica de Catalunya, 2023-10-10)
      Treball Final de Grau
      Accés obert
      Este 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 

      Vidal Seguí, Yolanda (2023-02-07)
      Article
      Accés obert
    • Automated Inspection of Railway Track Faults Based on Image Datasets 

      Garcia Minguell, Marta (Universitat Politècnica de Catalunya, 2022-08)
      Projecte Final de Màster Oficial
      Accés restringit per decisió de l'autor
      Realitzat a/amb:   Cranfield University
      Manual 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 

      Alenyà Ribas, Guillem; Villagrá Serrano, Jorge; Fernández Saavedra, Maria Belén; González de Santos, Pablo; Haber Guerra, Rodolfo E.; Jiménez Ruiz, Antonio Ramón; Ribeiro, Angela; Rocón de Lima, Eduardo; Borràs Sol, Júlia; Moreno-Noguer, Francesc; Torras, Carme (Consejo Superior de Investigaciones Científicas (CSIC), 2021)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Intelligent 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 

      Badia Oliver, Sergi (Universitat Politècnica de Catalunya, 2019-05-27)
      Treball Final de Grau
      Accés obert
      L'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 

      Pérez Guerrero, Carmina; Ciprián Sánchez, Jorge Francisco; Palacios, Adriana; Ochoa Ruíz, Gilberto; González Mendoza, Miguel; Foroughi, Vahid; Pastor Ferrer, Elsa; Rodríguez Hernández, Gerardo (Elsevier, 2024-01-01)
      Article
      Accés restringit per política de l'editorial
      Different 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 

      Çetin, Ender; Barrado Muxí, Cristina; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Artificial 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 

      Moreno Kübel, Pablo Alexander; Laguna Benet, Gerard; Cipriano Lindez, Jordi; Luna Alloza, Álvaro (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
      Article
      Accés obert
      The 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 

      Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (Institute of Physics (IOP), 2022-05-01)
      Article
      Accés obert
      Because 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 

      Recio Ramírez, Arnau (Universitat Politècnica de Catalunya, 2022-07-11)
      Treball Final de Grau
      Accés obert
      Actualmente, 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 

      Vallvé Navarro, Joan; Torres López, Antonio Luis (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Visual 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 

      Bagherzade Ghazvini, Mina; Sànchez-Marrè, Miquel; Bahilo, Edgar; Angulo Bahón, Cecilio (2021-12-01)
      Article
      Accés obert
      Operational 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 

      Marti Poblet, Jaume (Universitat Politècnica de Catalunya, 2024-02-21)
      Treball Final de Grau
      Accés obert
      L'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 

      Campoverde-Vilela, Lorena; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (Institute of Physics (IOP), 2022-05-01)
      Article
      Accés obert
      Condition 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 

      Velasco, Doménica; Guzmán, Luis; Puruncajas Maza, Bryan; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (2023-07-01)
      Article
      Accés obert
      This 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 ...