Pedro Pedrosa Rebouças Filho

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2023

New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR ImagesJosé Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho. ijcnn 2023: 1-8 [doi]

Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuningLuís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho. ijcnn 2023: 1-9 [doi]

Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signalsAldísio Gonçalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouças Filho. ijcnn 2023: 1-8 [doi]

2022

Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric MeasurementsGabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho. bracis 2022: 122-134 [doi]

New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective AdjustmentLuís Fabrício de F. Souza, José Jerovane da Costa Nascimento, Cyro M. G. Sabóia, Adriell Gomes Marques, Guilherme Freire Brilhante Severiano, Lucas de Oliveira Santos, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho. isda 2023: 31-41 [doi]

Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning ApproachesPedro Henrique Feijo de Sousa, Jefferson Silva Almeida, Elene Firmeza Ohata, Fabricio Gonzalez Nogueira, Bismark Claure Torrico, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Neeraj Kumar 0001, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho. tits, 23(10):19807-19816, 2022. [doi]

Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-TuningAdriell Gomes Marques, Luls Fabrlcio de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho. ijcnn 2022: 1-8 [doi]

Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT ImagesAldísio Gonçalves Medeiros, Lucas de Oliveira Santos, Pedro Pedrosa Rebouças Filho. isda 2023: 99-109 [doi]

Novel low cost soil moisture sensorEdson C. Neto, Darlan A. Barroso, Pedro Pedrosa Rebouças Filho, D. N. Coelho. csit 2022: 214-217 [doi]

Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography imagesSolon Alves Peixoto, Aldísio Gonçalves Medeiros, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. mms, 28(4):1151-1163, 2022. [doi]

Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License PlatesCyro M. G. Sabóia, Adriell Gomes Marques, Luís Fabrício de Freitas Souza, Solon Alves Peixoto, Matheus A. dos Santos, Antônio Carlos da Silva Barros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho. isda 2023: 513-522 [doi]

New fully automatic approach for tissue identification in histopathological examinations using transfer learningYongzhao Xu, Matheus A. dos Santos, Luís Fabrício de F. Souza, Adriell Gomes Marques, Lijuan Zhang, José Jerovane da Costa Nascimento, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. iet-ipr, 16(11):2875-2889, 2022. [doi]

2021

Gender-based approach to estimate the human body fat percentage using Machine LearningShara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho. ijcnn 2021: 1-8 [doi]

A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT systemJoão Victor Souza das Chagas, Douglas de A. Rodrigues, Roberto F. Ivo, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. jrtip, 18(4):1099-1114, 2021. [doi]

Driver Behavior Analysis: Abnormal Driving Detection Using MLP Classifier Applied to Outdoor Camera ImagesWictor Gomes de Oliveira, Pedro Pedrosa Rebouças Filho, Elias Teodoro da Silva Júnior. isda 2022: 1142-1152 [doi]

Fingerprint Classification Based on the Henry System via ResNetJoão Wellington Mendes de Souza, Aldísio Gonçalves Medeiros, Gabriel Bandeira Holanda, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho. iwssip 2022: 15-28 [doi]

A novel feature extractor for human action recognition in visual question answeringFrancisco Hércules dos S. Silva, Gabriel Maia Bezerra, Gabriel Bandeira Holanda, João Wellington Mendes de Souza, Paulo A. L. Rego, Aloísio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. prl, 147:41-47, 2021. [doi]

An Open IoHT-Based Deep Learning Framework for Online Medical Image RecognitionCarlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Khan Muhammad, Victor Hugo C. de Albuquerque. jsac, 39(2):541-548, 2021. [doi]

A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning TechniquesVirgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. ijcnn 2021: 1-8 [doi]

Automatic detection of COVID-19 infection using chest X-ray images through transfer learningElene Firmeza Ohata, Gabriel Maia Bezerra, Joao Victor Souza das Chagas, Aloisio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. ieeejas, 8(1):239-248, 2021. [doi]

A novel transfer learning approach for the classification of histological images of colorectal cancerElene Firmeza Ohata, João Victor Souza das Chagas, Gabriel Maia Bezerra, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. tjs, 77(9):9494-9519, 2021. [doi]

Brazilian Mercosur License Plate Detection and Recognition Using Haar Cascade and Tesseract OCR on Synthetic ImageryCyro M. G. Sabóia, Pedro Pedrosa Rebouças Filho. isda 2022: 849-858 [doi]

Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generatorsYongzhao Xu, Navar Medeiros M. e Nascimento, Pedro Henrique Feijo de Sousa, Fabricio Gonzalez Nogueira, Bismark C. Torrico, Tao Han 0004, Chuanyu Jia, Pedro Pedrosa Rebouças Filho. asc, 101:107053, 2021. [doi]

A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography imagesYongzhao Xu, Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco H. S. Silva, Virgínia Xavier Nunes, Tao Han 0004, Chuanyu Jia, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. asc, 112:107810, 2021. [doi]

2020

Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT ScansTao Han 0004, Virgínia Xavier Nunes, Luís Fabrício de F. Souza, Adriell Gomes Marques, Iágson Carlos Lima Silva, Marcos Aurelio A. Ferreira Junior, Jinghua Sun, Pedro Pedrosa Rebouças Filho. access, 8:71117-71135, 2020. [doi]

Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentationTao Han 0004, Roberto F. Ivo, Douglas de A. Rodrigues, Solon Alves Peixoto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. fgcs, 108:198-209, 2020. [doi]

A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud ComputerShara Shami Araújo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouças Filho. cbms 2020: 542-545 [doi]

Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networksRaul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Murillo Barata Rodrigues, Suane Pires Pinheiro da Silva, Carlos M. J. M. Dourado Júnior, Victor Hugo C. de Albuquerque. nca, 32(15):11065-11082, 2020. [doi]

An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer LearningAntônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho. ijcnn 2020: 1-8 [doi]

Fast fully automatic skin lesions segmentation probabilistic with Parzen windowJoão V. Souza das Chagas, Roberto F. Ivo, Matheus T. Guimarães, Douglas de A. Rodrigues, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho. cmig, 85:101774, 2020. [doi]

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT systemDouglas de A. Rodrigues, Roberto F. Ivo, Suresh Chandra Satapathy, Shuihua Wang, D. Jude Hemanth, Pedro Pedrosa Rebouças Filho. prl, 136:8-15, 2020. [doi]

Fast fully automatic heart fat segmentation in computed tomography datasetsVictor Hugo C. de Albuquerque, Douglas de A. Rodrigues, Roberto F. Ivo, Solon Alves Peixoto, Tao Han, Wanqing Wu, Pedro Pedrosa Rebouças Filho. cmig, 80:101674, 2020. [doi]

Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learningLuís Fabrício de F. Souza, Gabriel Bandeira Holanda, Francisco Hércules dos S. Silva, Shara Shami Araújo Alves, Pedro Pedrosa Rebouças Filho. ijhis, 16(4):189-205, 2020. [doi]

Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT SegmentationLuís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco Hércules dos S. Silva, Virgínia Xavier Nunes, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. sensors, 20(23):6711, 2020. [doi]

Predicting body measures from 2D images using Convolutional Neural NetworksJoão W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho. ijcnn 2020: 1-6 [doi]

Computation Offloading for Vehicular Environments: A SurveyAlisson Barbosa de Souza, Paulo A. L. Rego, Tiago Carneiro 0001, Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, José Neuman de Souza, Vinay Chamola, Victor Hugo C. de Albuquerque, Biplab Sikdar. access, 8:198214-198243, 2020. [doi]

Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrenceNavar Medeiros M. e Nascimento, Leandro Bezerra Marinho, Solon Alves Peixoto, João Paulo do Vale Madeiro, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. cssp, 39(2):631-650, 2020. [doi]

A Robust Automatic License Plate Recognition System for Embedded DevicesLucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Gonçalves Medeiros, Aloísio V. Lira Neto, Yuri L. B. Nogueira, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho. bracis 2020: 226-239 [doi]

Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbinesMarcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho. ijcnn 2020: 1-8 [doi]

Evaluation of Goat Leather Quality Based on Computational Vision TechniquesEdmilson Q. Santos Filho, Pedro Henrique Feijo de Sousa, Pedro Pedrosa Rebouças Filho, Guilherme A. Barreto, Victor Hugo C. de Albuquerque. cssp, 39(2):651-673, 2020. [doi]

An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality ReductionMatheus T. Guimarães, Aldísio Gonçalves Medeiros, Jefferson S. Almeida, Marcos Falcão y Martin, Robertas Damasevicius, Rytis Maskeliunas, César Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouças Filho. ijcnn 2020: 1-8 [doi]

An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environmentsTao Han, Jefferson S. Almeida, Suane Pires P. da Silva, Paulo Honório Filho, Antonio Wendell De Oliveira Rodrigues, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. comcom, 150:696-702, 2020. [doi]

An effective approach for CT lung segmentation using mask region-based convolutional neural networksQinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro Pedrosa Rebouças Filho. artmed, 103:101792, 2020. [doi]

New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography ImageAldísio Gonçalves Medeiros, Lucas de O. Santos, Róger Moura Sarmento, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho. bracis 2020: 604-618 [doi]

An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning TechniqueAldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho. cbms 2020: 603-608 [doi]

Automatic classification of pulmonary diseases using a structural co-occurrence matrixSolon Alves Peixoto, Pedro Pedrosa Rebouças Filho, Arunkumar N., Victor Hugo C. de Albuquerque. nca, 32(15):10935-10945, 2020. [doi]

A high-efficiency energy and storage approach for IoT applications of facial recognitionSolon Alves Peixoto, Francisco Fábio Ximenes Vasconcelos, Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, Aloisio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. ivc, 96:103899, 2020. [doi]

Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlookMarcus A. G. Santos, Roberto Muñoz 0001, Rodrigo Olivares, Pedro Pedrosa Rebouças Filho, Javier Del Ser, Victor Hugo C. de Albuquerque. inffus, 53:222-239, 2020. [doi]

An IoT platform for the analysis of brain CT images based on Parzen analysisRóger M. Sarmento, Francisco Fábio Ximenes Vasconcelos, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. fgcs, 105:135-147, 2020. [doi]

Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer LearningFrancisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho. cbms 2020: 126-131 [doi]

Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysisFrancisco Fábio Ximenes Vasconcelos, Róger M. Sarmento, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. eaai, 91:103585, 2020. [doi]

2019

Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniquesJefferson S. Almeida, Pedro Pedrosa Rebouças Filho, Tiago Carneiro, Wei Wei, Robertas Damasevicius, Rytis Maskeliunas, Victor Hugo C. de Albuquerque. prl, 125:55-62, 2019. [doi]

Pill Image Classification using Machine LearningLuan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto. bracis 2019: 556-561 [doi]

A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer LearningSuane Pires Pinheiro da Silva, Paulo Honório Filho, Leandro Bezerra Marinho, Jefferson S. Almeida, Navar Medeiros M. e Nascimento, Antonio Wendell De Oliveira Rodrigues, Pedro Pedrosa Rebouças Filho. bracis 2019: 222-227 [doi]

Classification of EEG signals to detect alcoholism using machine learning techniquesJardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, Eugenio Peixoto Jr, Arunkumar N., Victor Hugo C. de Albuquerque. prl, 125:140-149, 2019. [doi]

Guest Editorial: Interactive Virtual Environments for NeuroscienceVictor Hugo C. de Albuquerque, Joel J. P. C. Rodrigues, Pedro Pedrosa Rebouças Filho, Jaime Lloret Mauri, Mohsen Guizani. titb, 23(5):1863-1864, 2019. [doi]

Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine LearningLuís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Pedro Pedrosa Rebouças Filho. isda 2021: 140-149 [doi]

New level set approach based on Parzen estimation for stroke segmentation in skull CT imagesElizângela de S. Rebouças, Régis C. P. Marques, Alan M. Braga, Saulo A. F. Oliveira, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. soco, 23(19):9265-9286, 2019. [doi]

An Improved Retinal Blood Vessel Detection System Using an Extreme Learning MachineLucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira. ijehmc, 10(3):39-55, 2019. [doi]

Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural NetworkPedro Pedrosa Rebouças Filho, João Wellington M. Souza, Leandro Bezerra Marinho, Gabriel B. Holanda, Harison Herman Silva, Alvaro A. F. Leite, Thais S. Bandeira, Antonio Wendell De Oliveira Rodrigues. bracis 2019: 699-704 [doi]

Energy production predication via Internet of Thing based machine learning systemPedro Pedrosa Rebouças Filho, Samuel Luz Gomes, Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Fatma Outay, Victor Hugo C. de Albuquerque. fgcs, 97:180-193, 2019. [doi]

Control of singularity trajectory tracking for robotic manipulator by genetic algorithmsPedro Pedrosa Rebouças Filho, Suane Pires P. da Silva, Victor N. Praxedes, D. Jude Hemanth, Victor Hugo C. de Albuquerque. jocs, 30:55-64, 2019. [doi]

Automated recognition of lung diseases in CT images based on the optimum-path forest classifierPedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares. nca, 31(S-2):901-914, 2019. [doi]

A new effective and powerful medical image segmentation algorithm based on optimum path snakesPedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Jefferson S. Almeida, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque. asc, 76:649-670, 2019. [doi]

A new approach for mobile robot localization based on an online IoT systemCarlos M. J. M. Dourado Jr., Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Arun Kumar Sangaiah, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. fgcs, 100:859-881, 2019. [doi]

Deep learning IoT system for online stroke detection in skull computed tomography imagesCarlos M. J. M. Dourado Jr, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. cn, 152:25-39, 2019. [doi]

Evaluation of Heart Disease Diagnosis Approach using ECG ImagesMarcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho. ijcnn 2019: 1-7 [doi]

A novel electrocardiogram feature extraction approach for cardiac arrhythmia classificationLeandro Bezerra Marinho, Navar de Medeiros Mendonça e Nascimento, João Wellington M. Souza, Mateus Valentim Gurgel, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. fgcs, 97:564-577, 2019. [doi]

Ultrasonic sensor signals and self organized mapping with nearest neighbors for the microstructural characterization of thermally-aged Inconel 625 alloyLeandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque. cii, 107:1-10, 2019. [doi]

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contourFrancisco Fábio Ximenes Vasconcelos, Aldísio Gonçalves Medeiros, Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho. cogsr, 55:44-59, 2019. [doi]

2018

Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer AlgorithmsTiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens. vecpar 2019: 16-30 [doi]

Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning ApplicationsTiago Carneiro, Raul Victor Medeiros da Nobrega, Thiago Nepomuceno, Gui-bin Bian, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. access, 6:61677-61685, 2018. [doi]

Lung Nodule Classification via Deep Transfer Learning in CT Lung ImagesRaul Victor Medeiros da Nobrega, Solon Alves Peixoto, Suane Pires P. da Silva, Pedro Pedrosa Rebouças Filho. cbms 2018: 244-249 [doi]

Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional ImagesSuane Pires Pinheiro da Silva, Leandro Bezerra Marinho, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho. bracis 2018: 456-461 [doi]

Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional ImagesSuane Pires P. da Silva, Raul Victor Medeiros da Nobrega, Aldisio G. Medeiros, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho. ijcnn 2018: 1-8 [doi]

Detection and classification of faults in induction generator applied into wind turbines through a machine learning approachPedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques Sá de Medeiros. ijcnn 2018: 1-7 [doi]

Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed ForecastPedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araujo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros. bracis 2018: 79-84 [doi]

A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learningPedro Pedrosa Rebouças Filho, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque. cee, 71:440-451, 2018. [doi]

Automatic histologically-closer classification of skin lesionsPedro Pedrosa Rebouças Filho, Solon Alves Peixoto, Raul Victor Medeiros da Nobrega, D. Jude Hemanth, Aldisio G. Medeiros, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque. cmig, 68:40-54, 2018. [doi]

A novel mobile robot localization approach based on classification with rejection option using computer visionLeandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri Holanda de Souza Júnior, Victor Hugo C. de Albuquerque. cee, 68:26-43, 2018. [doi]

CoforDes: An Invariant Feature Extractor for the Drug Pill IdentificationMateus A. Vieira Neto, Joao W. M. de Souza, Pedro Pedrosa Rebouças Filho, Antonio W. de O. Rodrigues. cbms 2018: 30-35 [doi]

Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect SensorJoel S. Da Cunha Neto, Pedro Pedrosa Rebouças Filho, Guilherme P. Ferreira Da Silva, Natalia B. Da Cunha Olegario, João Batista Furlan Duarte, Victor Hugo C. de Albuquerque. access, 6:17292-17305, 2018. [doi]

Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the frequency domainSolon Alves Peixoto, Pedro Pedrosa Rebouças Filho. cee, 71:398-407, 2018. [doi]

Stroke Lesion Detection Using Convolutional Neural NetworksDanillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque. ijcnn 2018: 1-6 [doi]

Binary Neural Networks for Classification of Voice Commands From Throat MicrophoneFabio Cisne Ribeiro, Raphael Torres Santos Carvalho, Paulo Cortez 0002, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. access, 6:70130-70144, 2018. [doi]

Health of Things Algorithms for Malignancy Level Classification of Lung NodulesMurillo Barata Rodrigues, Raul Victor Medeiros da Nobrega, Shara Shami A. Alves, Pedro Pedrosa Rebouças Filho, João Batista Furlan Duarte, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque. access, 6:18592-18601, 2018. [doi]

A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity AnalysisJoão Wellington M. Souza, Shara Shami A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho. cin, 2018, 2018. [doi]

2017

A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence MatrixSuane Pires P. da Silva, Leandro Balby Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho. caip 2017: 3-15 [doi]

Reducing the Schizophrenia Stigma: A New Approach Based on Augmented RealityRafael D. de C. Silva, Saulo G. C. Albuquerque, Artur de V. Muniz, Pedro Pedrosa Rebouças Filho, Sidarta Ribeiro, Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque. cin, 2017, 2017. [doi]

A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical MomentsNavar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Pedro Pedrosa Rebouças Filho. isda 2018: 124-133 [doi]

Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT ImagesElizângela de S. Rebouças, Alan M. Braga, Róger Moura Sarmento, Régis C. P. Marques, Pedro Pedrosa Rebouças Filho. cbms 2017: 391-396 [doi]

A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature ExtractorJoão W. M. de Souza, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho. isda 2018: 21-31 [doi]

New approach to detect and classify stroke in skull CT images via analysis of brain tissue densitiesPedro Pedrosa Rebouças Filho, Róger M. Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima. cmpb, 148:27-43, 2017. [doi]

Analysis of human tissue densities: A new approach to extract features from medical imagesPedro Pedrosa Rebouças Filho, Elizângela de S. Rebouças, Leandro Balby Marinho, Róger M. Sarmento, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque. prl, 94:211-218, 2017. [doi]

Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung imagesPedro Pedrosa Rebouças Filho, Paulo César Cortez, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares. mia, 35:503-516, 2017. [doi]

Embedded real-time speed limit sign recognition using image processing and machine learning techniquesSamuel L. Gomes, Elizângela de S. Rebouças, Edson Cavalcanti Neto, João P. Papa, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, João Manuel R. S. Tavares. nca, 28(S-1):573-584, 2017. [doi]

A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional imagesLeandro Balby Marinho, Jefferson S. Almeida, João Wellington M. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. eswa, 72:1-17, 2017. [doi]

High-Pass Learning Machine: An Edge Detection ApproachAlan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho. iciap 2017: 48-59 [doi]

A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path SnakesSolon A. Peixoto, Aldisio G. Medeiros, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. icmla 2017: 402-407 [doi]

2016

A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour MethodFrancisco Diego Lima Moreira, Maurício Nunes Kleinberg, Hemerson Furtado Arruda, Francisco Nélio Costa Freitas, Marcelo Monteiro Valente Parente, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho. eswa, 45:294-306, 2016. [doi]

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