Parabéns aos colaboradores do LAPISCO pelo trabalho intitulado “Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques” publicado no periódico Pattern Recognition Letter (Elsevier), JCR 1.95. . Abstract: This study investigates the processing of voice signals for detecting Parkinson’s disease. This disease is one of the neurological disorders that affect people in the world most. The approach evaluates the use of eighteen feature extraction techniques and four machine learning methods to classify data obtained from sustained phonation and speech tasks. Phonation relates to the vowel /a/ voicing task and speech to the pronunciation of a short sentence in Lithuanian language. TheRead More →

Parabéns aos colaboradores do LAPISCO pelo trabalho intitulado “A Novel Electrocardiogram Feature Extraction Approach for Cardiac Arrhythmia Classification” publicado no periódico Future Generation Computer Systems (Elsevier), JCR 4.97. . Abstract: In this work, we propose a novel approach to detect cardiac arrhythmias in electrocardiograms (ECG). The proposal focuses on different feature extractors and machine learning methods. The feature extraction techniques evaluated were Fourier, Goertzel, Higher Order Statistics (HOS), and Structural Co-Occurrence Matrix (SCM). As far as the authors know, this is the first time that SCM has been applied to the feature extraction task with ECG signals. Four well-known classifiers, commonly referred to in theRead More →

Parabéns aos colaboradores do LAPISCO pelo trabalho intitulado “Energy production predication via Internet of Thing based machine learning system” publicado no periódico Future Generation Computer Systems (Elsevier), JCR 4.97. . Abstract: Wind energy is an interesting source of alternative energy to complement the Brazilian energy matrix. However, one of the great challenges lies in managing this resource, due to its uncertainty behavior. This study addresses the estimation of the electric power generation of a wind turbine, so that this energy can be used efficiently and sustainable. Real wind and power data generated in set of wind turbines installed in a wind farm in Ceará State,Read More →