Mostrando ítems 46-50 de 4315

    • Simulation of Virus Propagation and Acceptance of Socio-Sanitary Measures Through an Intelligent Model 

      García-Paz, Daniel J.; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Rodríguez-Arias, Alejandro (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] During the most critical moments of the SARS-COV-2 pandemic, various containment measures were enacted to hinder the virus’s spread and mitigate its impact. This work focuses on studying the impact of the ...
    • Re-Identification of Rats with Transfer Learning 

      Molares-Ulloa, Andrés; Ortega-Femia, Maria del Rocio; Dorado, Julián; Pedreira Souto, Nieves; Rodriguez, Alvaro (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The study of animal behavior in laboratory experiments is key in ethology, ecotoxicology, neuroscience and other fields. Although modern studies use computer imaging techniques, current solutions cannot preserve ...
    • Use of Deep Learning Techniques for Motor Events Detection in Polysomnographic Records 

      Lloves García, Inés; Álvarez-Estévez, Diego (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Sleep medicine deals with the diagnosis and treatment of sleep-related disorders. The diagnosis is carried out through the manual analysis and labeling of polysomnographic studies, which record various ...
    • Development of a Virtual Sensor for COD Measurement in a Wastewater Treatment Plant 

      Díaz-Longueira, Antonio; Timiraos, Míriam; Michelena, Álvaro; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The objective of the work is to develop a system that allows predicting, from a global perspective, the behavior of the process in a wastewater treatment plant. To do this, the chemical oxygen demand, a variable ...
    • Understanding the Influence of Rendering Parameters in Synthetic Datasets for Neural Semantic Segmentation Tasks 

      Silva, Manuel; Mures, Omar A.; Seoane, Antonio; Iglesias-Guitian, Jose A. (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Deep neural networks are well known for demanding large amounts of training data, motivating the appearance of multiple synthetic datasets covering multiple domains. However, synthetic datasets have not yet ...