• A review of artificial intelligence applied to path planning in UAV swarms 

      Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (Springer, 2021)
      [Abstract]: Path Planning problems with Unmanned Aerial Vehicles (UAVs) are among the most studied knowledge areas in the related literature. However, few of them have been applied to groups of UAVs. The use of swarms ...
    • Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)
      [Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ...
    • Internationalization of the ClepiTO web platform 

      Naveira-Carro, Eloy; Miranda-Duro, María del Carmen; Concheiro-Moscoso, Patricia; Puente-Castro, Alejandro; Costa Portugal Cardoso, Paula Cristina; Mota Coelho, Tiago (MDPI, 2019-08-01)
      [Abstract] This adaptation consists of the translation from Spanish into Portuguese of the different contents offered by the ClepiTO web platform to be able to carry out a pilot test with a larger population in Portugal ...
    • PRACTICUM DIRECT Simulator for Decision Making during Pandemics 

      Puente-Castro, Alejandro; Galdo, Brais; Said-Criado, Ismael; Baltar Boileve, David; Rabuñal, Juan R.; Pazos, A.; Martínez Pillado, Modesto (MDPI, 2021)
      [Abstract] The past and current situation of the SARS-CoV-2 pandemic has put the entire society, and especially all hospital systems, worldwide to the test. It is essential that health system managers and decision makers ...
    • Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments 

      Puente-Castro, Alejandro; Rivero, Daniel; Pedrosa, Eurico; Pereira, Artur; Lau, Nuno; Fernández-Blanco, Enrique (Elsevier, 2023)
      [Abstract]: Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise due to the numerous advantages they bring. There are increasingly more scenarios where autonomous control ...
    • System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique (M D P I AG, 2019-08-21)
      [Abstract] Automatic detection of Alzheimer’s disease is a very active area of research. This is due to its usefulness in starting the protocol to stop the inevitable progression of this neurodegenerative disease. This ...
    • Técnicas de inteligencia artificial aplicadas al sector de las aeronaves pilotadas por control remoto 

      Puente-Castro, Alejandro (2023)
      [Resumen] El principal objetivo de esta Tesis Doctoral es estudiar el uso de técnicas para el control de enjambres heterogéneos de Aeronaves Pilotadas Remotamente (RPA o UAV, por sus siglas en inglés), coloquialmente ...
    • UAV Swarm Path Planning With Reinforcement Learning for Field Prospecting 

      Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (Springer, 2022-03-03)
      [Abstract] There has been steady growth in the adoption of Unmanned Aerial Vehicle (UAV) swarms by operators due to their time and cost benefits. However, this kind of system faces an important problem, which is the ...
    • Using Reinforcement Learning in the Path Planning of Swarms of UAVs for the Photographic Capture of Terrains 

      Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (MDPI, 2021)
      [Abstract] The number of applications using unmanned aerial vehicles (UAVs) is increasing. The use of UAVs in swarms makes many operators see more advantages than the individual use of UAVs, thus reducing operational time ...