Ara es mostren els items 1-12 de 41

    • Anomaly detection in gas turbines using outlet energy analysis with cluster-based matrix profile 

      Bagherzade Ghazvini, Mina; Sànchez-Marrè, Miquel; Naderi, Davood; Angulo Bahón, Cecilio (2024-01-30)
      Article
      Accés obert
      Gas turbines play a key role in generating power. It is really important that they work efficiently, safely, and reliably. However, their performance can be adversely affected by factors such as component wear, vibrations, ...
    • AI lifecycle zero-touch orchestration within the edge-to-cloud continuum for industry 5.0 

      Alberti, Enrico; Álvarez Napagao, Sergio; Anaya, Victor; Barroso Isidoro, Marta; Barrué Subirana, Cristian; Beecks, Christian; Giménez Ábalos, Víctor; Hinjos García, Daniel; Jakubiak, Natalia; Sànchez-Marrè, Miquel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-02)
      Article
      Accés obert
      The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to ...
    • Explaining the behaviour of reinforcement learning agents in a multi-agent cooperative environment using policy graphs 

      Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Álvarez Napagao, Sergio (2024-01-31)
      Article
      Accés obert
      The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last few years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it ...
    • Advances in the use of deep learning for the analysis of magnetic resonance image in neuro-oncology 

      Pitarch i Abaigar, Carla; Ungan, Gülnur; Julia Sape, Margarida; Vellido Alcacena, Alfredo (Multidisciplinary Digital Publishing Institute (MDPI), 2024-01-10)
      Article
      Accés obert
      Machine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these ...
    • Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification 

      Zhang, Xiao; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Multidisciplinary Digital Publishing Institute, 2023-11-23)
      Article
      Accés obert
      When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ...
    • GPCR molecular dynamics forecasting using recurrent neural networks 

      López Correa, Juan Manuel; König, Caroline; Vellido Alcacena, Alfredo (Springer Nature, 2023)
      Article
      Accés obert
      G protein-coupled receptors (GPCRs) are a large superfamily of cell membrane proteins that play an important physiological role as transmitters of extracellular signals. Signal transmission through the cell membrane depends ...
    • Assessing biases through visual contexts 

      Arias Duart, Anna; Giménez Ábalos, Víctor; Cortés García, Claudio Ulises; Garcia Gasulla, Dario (2023-07)
      Article
      Accés obert
      Bias detection in the computer vision field is a necessary task, to achieve fair models. These biases are usually due to undesirable correlations present in the data and learned by the model. Although explainability can ...
    • A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma 

      Gureghian, Vincent; Herbst, Hailee; Kozar, Ines; Mihajlovic, Katarina; Malod-Dognin, Noël; Ceddia, Gaia; Angeli, Cristian; Margue, Christiane; Randic, Tijana; Philippidou, Demetra (2023-07-07)
      Article
      Accés obert
      Therapy Induced Senescence (TIS) leads to sustained growth arrest of cancer cells. The associated cytostasis has been shown to be reversible and cells escaping senescence further enhance the aggressiveness of cancers. ...
    • AI-based glioma grading for a trustworthy diagnosis: an analytical pipeline for improved reliability 

      Pitarch i Abaigar, Carla; Ribas Ripoll, Vicente Jorge; Vellido Alcacena, Alfredo (2023-06-27)
      Article
      Accés obert
      Glioma is the most common type of tumor in humans originating in the brain. According to the World Health Organization, gliomas can be graded on a four-stage scale, ranging from the most benign to the most malignant. The ...
    • A Docker-based federated learning framework design and deployment for multi-modal data stream classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Kumar, Rohit (2023-05-11)
      Article
      Accés restringit per política de l'editorial
      In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ...
    • Analysis of gas turbine compressor performance after a major maintenance operation using an autoencoder architecture 

      Castro Cros, Martí de; Velasco García, Manel; Angulo Bahón, Cecilio (Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-21)
      Article
      Accés obert
      Machine learning algorithms and the increasing availability of data have radically changed the way how decisions are made in today’s Industry. A wide range of algorithms are being used to monitor industrial processes and ...
    • Intelligent weed management based on object detection neural networks in tomato crops 

      López Correa, Juan Manuel; Moreno Párrizas, Hugo; Ribeiro Seijas, Angela; Andujar Sánchez, Dionisio (Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-24)
      Article
      Accés obert
      As the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and the conventional approach for weed control compromises its potential productivity. Thus, the automatic detection of the most aggressive ...