Ara es mostren els items 13-24 de 3524

    • 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, ...
    • Introducing social robots to assess frailty in older adults 

      Civit Bertran, Aniol; Andriella, Antonio; Barrué Subirana, Cristian; Antonio, Maite; Boqué, Concepción; Alenyà Ribas, Guillem (2024)
      Comunicació de congrés
      Accés obert
      Frailty is a crucial indicator in determining the well-being of older adults in terms of their health. With the growing number of elderly people, the demand for geriatricians is increasing, which means that they have less ...
    • 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 ...
    • The K-Robinson Foulds measures for labeled trees 

      Khayatian, Elahe; Valiente Feruglio, Gabriel Alejandro; Zhang, Louxin (Springer, 2023)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Investigating the mutational history of tumor cells is important for understanding the underlying mechanisms of cancer and its evolution. Now that the evolution of tumor cells is modeled using labeled trees, researchers ...
    • Evolution of the participation of women in university computer science studies in Spain and in Europe 

      Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      This paper presents a comprehensive examination of the current state of underrepresentation of women in computer science (CS) degrees in Spain. It offers an overview of the situation across autonomous communities in Spain, ...
    • Applying generative models and transfer learning to physiological data classification 

      Núñez Rodríguez, José Fernando; Arjona Martínez, Jamie; Tormos Llorente, Adrián; Garcia Gasulla, Dario; Béjar Alonso, Javier (IOS Press, 2023-11-01)
      Text en actes de congrés
      Accés obert
      The scarcity and imbalance of datasets for training deep learning models in a specific task is a common problem. This is especially true in the physiological domain where many applications use complex data collection ...
    • Simulating real-life scenarios to better understand the spread of diseases under different contexts 

      Blanco Guerra, Rafael Andrés; Patow, Gustavo Ariel; Pelechano Gómez, Núria (Springer, 2024-02-01)
      Article
      Accés obert
      Current statistical models to simulate pandemics miss the most relevant information about the close atomic interactions between individuals which is the key aspect of virus spread. Thus, they lack a proper visualization ...
    • 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 ...
    • Adaptive task-oriented chatbots using feature-based knowledge bases 

      Campàs Gené, Carla; Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2023)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Task-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ...
    • Urban weathering: interactive rendering of polluted cities 

      Muñoz Pandiella, Imanol; Bosch Geli, Carles; Merillou, Nicolas; Patow, Gustavo Ariel; Merillou, Stephane; Pueyo Sandez, Francesc Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2018-12-01)
      Article
      Accés obert
      Weathering effects are ubiquitous phenomena in cities. Buildings age and deteriorate over time as they interact with the environment. Pollution accumulating on facades is a particularly visible consequence of this. Even ...
    • On the consistency of circuit lower bounds for non-deterministic time 

      Atserias, Albert; Buss, Sam; Müller, Moritz (Association for Computing Machinery (ACM), 2023)
      Text en actes de congrés
      Accés obert
      We prove the first unconditional consistency result for superpolynomial circuit lower bounds with a relatively strong theory of bounded arithmetic. Namely, we show that the theory ‍V20 is consistent with the conjecture ...
    • Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19 

      Ariza González, Mar; Béjar Alonso, Javier; Barrué Subirana, Cristian; Cano Marco, Neus; Segura Fàbregas, Bàrbara; Cortés García, Claudio Ulises; Junqué Plaja, Carme; Garolera Freixa, Maite (Springer, 2024-01-29)
      Article
      Accés obert
      The risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group of post-COVID-19 ...