Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection von Vidal, Vinicius F., Honorio, Leonardo M., Dias, Felipe M., Pinto, Milena F., Carvalho, Alexandre L., Marcato, Andre L. M.

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3D Correspondence and Point Projection Method for Structures Deformation Analysis von Melo, Aurelio G., Pinto, Milena F., Honorio, Leonardo M., Dias, Felipe M., Masson, Juliano E. N.

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From degrader to producer: reversing the gallic acid metabolism of Pseudomonas putida KT2440 von Dias, Felipe M. S., Pantoja, Raoní K., Gomez, José Gregório C., Silva, Luiziana F.

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Correction to: From degrader to producer: reversing the gallic acid metabolism of Pseudomonas putida KT2440 von Dias, Felipe M. S., Pantoja, Raoní K., Gomez, José Gregório C., Silva, Luiziana F.

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Explainable artificial intelligence in deep learning-based detection of aortic elongation on chest X-ray images von Ribeiro, Estela, Cardenas, Diego A C, Dias, Felipe M, Krieger, Jose E, Gutierrez, Marco A

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Islanding detection based on impedance estimation using small signal injection von Mostaro, Mateus, Monteiro, Henrique L.M., Dias, Felipe M., Silva, Leandro R.M., Duque, Carlos A.

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From degrader to producer: reversing the gallic acid metabolism of Pseudomonas putida KT2440 von Dias, Felipe M. S, Pantoja, Raoní K, Gomez, José Gregório C, Silva, Luiziana F

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Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data von Soares, Quenaz, Dias, Felipe M, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil von Silva, Thiago Christiano, Dias, Felipe A.M., dos Reis, Vinicius E., Tabak, Benjamin M.

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A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal von Dias, Felipe M, S Costa, Thiago B, C Cardenas, Diego A, F Toledo, Marcelo A, Krieger, Jose E, Gutierrez, Marco A

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2D Image-Based Atrial Fibrillation Classification von Dias, Felipe M, Samesima, Nelson, Ribeiro, Adele, Moreno, Ramon A, Pastore, Carlos A, Krieger, Jose E, Gutierrez, Marco A

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Creatine improves anaerobic performance and promotes anthropometric changes in Brazilian college soccer players von Pedrosa, Iago, Lucia, Ceres M. Della, da Silva, Alisson G., Rodrigues, Pedro H. S., Dias, Felipe A. M., Barbosa, Paula de F., Marins, João C. B.

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Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications von Quino, Joseph A. P, Cardenas, Diego A. C, Toledo, Marcelo A. F, Dias, Felipe M, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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Exploring the limitations of blood pressure estimation using the photoplethysmography signal von Dias, Felipe M, Cardenas, Diego A. C, Toledo, Marcelo A. F, Oliveira, Filipe A. C, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals von Almeida, Douglas A, Dias, Felipe M, Toledo, Marcelo A. F, Cardenas, Diego A. C, Oliveira, Filipe A. C, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features von Oliveira, Filipe A. C, Dias, Felipe M, Toledo, Marcelo A. F, Cardenas, Diego A. C, Almeida, Douglas A, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices von Dias, Felipe M, Toledo, Marcelo A. F, Cardenas, Diego A. C, Almeida, Douglas A, Oliveira, Filipe A. C, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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Exploring the limitations of blood pressure estimation using the photoplethysmography signal von Dias, Felipe M, Cardenas, Diego A C, Toledo, Marcelo A F, Oliveira, Filipe A C, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals von Almeida, Douglas A, Dias, Felipe M, Toledo, Marcelo A F, Cardenas, Diego A C, Oliveira, Filipe A C, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features von Oliveira, Filipe A C, Dias, Felipe M, Toledo, Marcelo A F, Cardenas, Diego A C, Almeida, Douglas A, Ribeiro, Estela, Krieger, Jose E, Gutierrez, Marco A

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