• 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 ...
    • 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 ...
    • 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 ...