Beatriz Flamia Azevedo

PhD Student

Beatriz Flamia Azevedo obtained her Bachelor degree in Control and Automation Engineering at Federal University of Technology - Parana (UTFPR), Brazil. She participated in the double degree program between UTFPR and Polytechnic Institute of Braganca (IPB), Portugal, obtaining her Master degree in Industrial Engineering at IPB, in 2020. Currently, she is researcher at Research Centre in Digitalization and Intelligent Robotics (CeDRI). Her research focus on Applied Mathematics and Intelligent Systems applied to the project MathE Improve Math Skills in Higher Education (MathE) and the project Forest Alert System (SAFe).

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Publications (4)

Automatic classification methods for predicting clinical profile of patients with diabetes mellitus Métodos de classificação automática para predição do perfil clínico de pacientes portadores do diabetes mellitus
Bressan G.M. ; Azevedo, B. F. ; de SOUZA R.M.

Revista Brasileira de Biometria

Year: 2020 | Journal | View Abstract | Link

A fuzzy approach for diabetes mellitus type 2 classification
Bressan G.M. ; Azevedo, B. F. ; de Souza R.M.

Brazilian Archives of Biology and Technology

Year: 2020 | Journal | View Abstract | Link

Three-phase induction motors faults classification using audio signals and decision trees
Azevedo, B. F. ; Bressan G.M. ; Agulhari C.M. ; dos Santos H.L. ; Endo W.

Applied Mathematics and Information Sciences

Year: 2019 | Journal | View Abstract | Link

A decision tree approach for the musical genres classification
Bressan G.M. ; Azevedo, B. F. ; Lizzi E.A.S.

Applied Mathematics and Information Sciences

Year: 2017 | Journal | View Abstract | Link