• Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods 

      Viana, Denys P.; de Sá Só Martins, Dionísio H. C.; de Lima, Amaro A.; Silva, Fabrício; Pinto, Milena F.; Gutiérrez, Ricardo H. R.; Monteiro, Ulisses A.; Vaz, Luiz A.; Prego, Thiago; de Alcantara Andrade, Fabio Augusto; Tarrataca, Luís; Haddad, Diego B. (Peer reviewed; Journal article, 2023)
      Predictive maintenance has been employed to reduce maintenance costs and production losses and to prevent any failure before it occurs. The framework proposed in this work performs diesel engine prognosis by evaluating the ...
    • Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments 

      de Castro, Gabriel G. R.; Santos, Tatiana M. B.; Andrade, Fabio Augusto de Alcantara; Lima, José; Haddad, Diego B.; Honório, Leonardo de M.; Pinto, Milena F. (Peer reviewed; Journal article, 2024)
      This research presents a cooperation strategy for a heterogeneous group of robots that comprises two Unmanned Aerial Vehicles (UAVs) and one Unmanned Ground Vehicles (UGVs) to perform tasks in dynamic scenarios. This paper ...
    • Transient Analysis of a Selective Partial-Update LMS Algorithm 

      Siqueira, Newton N.; Resende, Leonardo C.; Andrade, Fabio Augusto de Alcantara; Pimenta, Rodrigo M. S.; Haddad, Diego B.; Petraglia, Mariane R. (Peer reviewed; Journal article, 2024)
      In applications where large-order filters are needed, the computational load of adaptive filtering algorithms can become prohibitively expensive. In this paper, a comprehensive analysis of a selective partial-update least ...