Artigos em Periódicos

Artigos em ordem cronológica:

  1.  IVO, R. F. ; RODRIGUES, D. A. ; SANTOS, J. C. ; FREITAS, F. N. C. ; HERCULANO, L. F. G. ; ABREU, H. F. G. ; REBOUÇAS FILHO, P. P. . Study and classification of the Crystallographic Orientation Distribution Function of a non-grain oriented electrical steel using a computer vision system. Journal of Materials Research and Technology-JMR&T, 2019.
  2.  PEIXOTO, S. A. ; Rebouças Filho, Pedro Pedrosa . Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the Frequency Domain. COMPUTERS & ELECTRICAL ENGINEERING, 2019.
  3.  NASCIMENTO, N. M. M. ; Rebouças Filho, Pedro Pedrosa ; MEDEIROS, C. M. S. . Higher-Order Statistics applied to machine learning as an approach to identify broken rotor bars in induction motors. IEEE Latin America Transactions, 2018.
  4.  ALVES, S. S. A. ; REBOUÇAS, E. S. ; OLIVEIRA, S. A. F. ; BRAGA, A. M. ; Rebouças Filho, Pedro Pedrosa . Lung diseases classification by analysis of lung tissue densities. IEEE Latin America Transactions, 2018.
  5.  SOUSA, L. S. ; OLIVEIRA, S. A. F. ; BEZERRA, F. N. ; ROCHA NETO, A. R. ; Pedro Pedrosa Rebouças Filho . An improved retinal blood vessel detection system using an extreme learning machine. INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2018.
  6.  Pedro Pedrosa Rebouças Filho; NASCIMENTO, N. M. M. ; SOUSA, I. R. ; MEDEIROS, C. M. S. ; ALBUQUERQUE, V. H. C. . A reliable approach for detection of incipient faults of short-circuits in induction generator using machine learning. COMPUTERS & ELECTRICAL ENGINEERING, 2018.
  7.  PEIXOTO, SOLON A. ; REBOUÇAS FILHO, PEDRO P. ; SANGAIAH, A. K. ; ALBUQUERQUE, V. H. C. . Automatic classification of pulmonary disease using a Structural Co-Occurrence Matrix. NEURAL COMPUTING & APPLICATIONS, 2018.
  8.  `REBOUÇAS, E. S. ; MARQUES, R. C. P. ; BRAGA, A. M. ; OLIVEIRA, S. A. F. ; ALBUQUERQUE, V. H. C. ; Pedro Pedrosa Rebouças Filho . New level set approach based on Parzen estimation for stroke segmentation in skull CT images. SOFT COMPUTING, 2018.
  9.  REBOUÇAS FILHO, PEDRO P.; BARROS, ANTÔNIO CARLOS DA SILVA ; ALMEIDA, J. S. ; RODRIGUES, J. J. P. C. ; ALBUQUERQUE, V. H. C. . A New Effective and Powerful Medical Image Segmentation Algorithm Based on Optimum Path Snakes. APPLIED SOFT COMPUTING, 2018.
  10. Rebouças Filho, Pedro Pedrosa; SANTOS, J. C. ; FREITAS, F. N. C. ; RODRIGUES, D. A. ; IVO, R. F. . New approach to evaluate a non-grain oriented electrical steel electromagnetic performance using photomicrographic analysis via digital image processing. Journal of Materials Research and Technology-JMR&T, 2017.
  11.  HOLANDA, G. B. ; LIMA, D. A. ; Rebouças Filho, Pedro Pedrosa . A new approach for the measurement of welding dilution, based on inflec-tion points of an Active Contours. Materia-Rio de Janeiro, 2017.
  12. IVO, R. F. ; RODRIGUES, D. A. ; SANTOS, J. C. ; FREITAS, F. N. C. ; HERCULANO, L. F. G. ; ABREU, H. F. G. ; REBOUÇAS FILHO, P. P. . Study and classification of the Crystallographic Orientation Distribution Function of a non-grain oriented electrical steel using a computer vision system. Journal of Materials Research and Technology-JMR&T, 2019.
  13. PEIXOTO, S. A. ; Rebouças Filho, Pedro Pedrosa . Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the Frequency Domain. COMPUTERS & ELECTRICAL ENGINEERING, 2019.
  14. NASCIMENTO, N. M. M. ; Rebouças Filho, Pedro Pedrosa ; MEDEIROS, C. M. S. . Higher-Order Statistics applied to machine learning as an approach to identify broken rotor bars in induction motors. IEEE Latin America Transactions, 2018.
  15. ALVES, S. S. A. ; REBOUÇAS, E. S. ; OLIVEIRA, S. A. F. ; BRAGA, A. M. ; Rebouças Filho, Pedro Pedrosa . Lung diseases classification by analysis of lung tissue densities. IEEE Latin America Transactions, 2018.
  16. SOUSA, L. S. ; OLIVEIRA, S. A. F. ; BEZERRA, F. N. ; ROCHA NETO, A. R. ; Pedro Pedrosa Rebouças Filho . An improved retinal blood vessel detection system using an extreme learning machine. INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2018.
  17. Pedro Pedrosa Rebouças Filho; NASCIMENTO, N. M. M. ; SOUSA, I. R. ; MEDEIROS, C. M. S. ; ALBUQUERQUE, V. H. C. . A reliable approach for detection of incipient faults of short-circuits in induction generator using machine learning. COMPUTERS & ELECTRICAL ENGINEERING, 2018
  18. PEIXOTO, SOLON A. ; REBOUÇAS FILHO, PEDRO P. ; SANGAIAH, A. K. ; ALBUQUERQUE, V. H. C. . Automatic classification of pulmonary disease using a Structural Co-Occurrence Matrix. NEURAL COMPUTING & APPLICATIONS, 2018.
  19. REBOUÇAS, E. S. ; MARQUES, R. C. P. ; BRAGA, A. M. ; OLIVEIRA, S. A. F. ; ALBUQUERQUE, V. H. C. ; Pedro Pedrosa Rebouças Filho . New level set approach based on Parzen estimation for stroke segmentation in skull CT images. SOFT COMPUTING, 2018.
  20. REBOUÇAS FILHO, PEDRO P.; BARROS, ANTÔNIO CARLOS DA SILVA ; ALMEIDA, J. S. ; RODRIGUES, J. J. P. C. ; ALBUQUERQUE, V. H. C. . A New Effective and Powerful Medical Image Segmentation Algorithm Based on Optimum Path Snakes. APPLIED SOFT COMPUTING, 2018.
  21. Rebouças Filho, Pedro Pedrosa; SANTOS, J. C. ; FREITAS, F. N. C. ; RODRIGUES, D. A. ; IVO, R. F. . New approach to evaluate a non-grain oriented electrical steel electromagnetic performance using photomicrographic analysis via digital image processing. Journal of Materials Research and Technology-JMR&T, 2017.
  22. HOLANDA, G. B. ; LIMA, D. A. ; Rebouças Filho, Pedro Pedrosa . A new approach for the measurement of welding dilution, based on inflec-tion points of an Active Contours. Materia-Rio de Janeiro, 2017.
  23. ALMEIDA, J. S. ; MARINHO, L. B. ; SOUZA, JOÃO WELLINGTON M. ; ASSIS, E. A. ; Rebouças Filho, Pedro Pedrosa . Localization System for Autonomous Mobile Robots Using Machine Learning Methods and Omnidirectional Sonar. IEEE Latin America Transactions, v. 16, p. 368-374, 2018.
  24. CUNHA NETO, J. S. ; Rebouças Filho, Pedro Pedrosa ; SILVA, G. P. F. ; OLEGARIO, N. B. C. ; DUARTE, J. B. F. ; ALBUQUERQUE, V. H. C. . Dynamic evaluation and treatment of the movement amplitude using Kinect sensor. IEEE Access, v. 99, p. 1-16, 2018.SOUZA, JOÃO WELLINGTON M. ; ALVES, S. S. A. ; REBOUÇAS, E. S. ; ALMEIDA, J. S. ; Rebouças Filho, Pedro Pedrosa . A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis. Computational Intelligence and Neuroscience, v. 2018, p. 1-8, 2018.
  25. MARINHO, L. B. ; Rebouças Filho, Pedro Pedrosa ; ALMEIDA, J. S. ; SOUZA, JOÃO WELLINGTON M. ; SOUZA JUNIOR, A. H. ; ALBUQUERQUE, V. H. C. . A novel mobile robot localization approach based on classification with rejection option using computer vision. COMPUTERS & ELECTRICAL ENGINEERING, v. 68, p. 26-43, 2018.
  26. Rodrigues, Murillo B. ; Nóbrega, Raul Victor M. ; ALVES, S. S. A. ; REBOUÇAS FILHO, P. P. ; DUARTE, J. B. F. ; SANGAIAH, A. K. ; ALBUQUERQUE, V. H. C. . Health of Things Algorithms for Malignancy Level Classification of Lung Nodules. IEEE Access, p. 1-1, 2018.
  27. Rebouças Filho, Pedro Pedrosa; PEIXOTO, S. A. ; Nóbrega, Raul Victor M. ; HEMANTH, D. J. ; MEDEIROS, A. G. ; SANGAIAH, A. K. ; ALBUQUERQUE, V. H. C. . Automatic histologically-closer classification of skin lesions. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, v. 68, p. 40-54, 2018.
  28. Rebouças Filho, Pedro Pedrosa; MOREIRA, F. D. L. ; MARINHO, L. B. ; ALMEIDA, J. S. . Novel and powerful mosaic constructor for territorial analysis using mobile robots via Binary Robust Invariant Scalable Keypoints. MEASUREMENT, v. 114, p. 448-470, 2018. Download do PDF
  29. HOLANDA, G. B. ; SOUZA, JOÃO WELLINGTON M. ; LIMA, D. A. ; MARINHO, L. B. ; Girão, A. M. ; Frota, J.B.B. ; REBOUÇAS FILHO, PEDRO P. . Development of OCR system on android platforms to aid reading with a refreshable braille display in real time. MEASUREMENT, p. 150-168, 2018. Download do PDF
  30. Rebouças Filho, Pedro Pedrosa; Cortez, Paulo César ; DA SILVA BARROS, ANTÔNIO C. ; C. ALBUQUERQUE, VICTOR HUGO ; R. S. TAVARES, JOÃO MANUEL . Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images. Medical Image Analysis (Print), v. 35, p. 503-516, 2017. Download do PDF
  31. MARINHO, LEANDRO B. ; ALMEIDA, JEFFERSON S. ; SOUZA, JOÃO WELLINGTON M. ; ALBUQUERQUE, VICTOR HUGO C. ; REBOUÇAS FILHO, PEDRO P. . A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images. Expert Systems with Applications, v. 72, p. 1-17, 2017. Download do PDF
  32. Rebouças Filho, Pedro Pedrosa; REBOUÇAS, E. S. ; MARINHO, L. B. ; SARMENTO, R. M. ; TAVARES, J. M. R. ; ALBUQUERQUE, V. H. C. . Analysis of Human Tissue Densities: A new approach to extract features from medical images. PATTERN RECOGNITION LETTERS, v. 94, p. 211-218, 2017. Download do PDF
  33. Rebouças Filho, Pedro Pedrosa; BARROS, A. C. S. ; RAMALHO, G. B. ; PEREIRA, C. R. ; PAPA, J. P. ; ALBUQUERQUE, V. H. C. ; TAVARES, J.M.R.S. . Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. NEURAL COMPUTING & APPLICATIONS, p. 1-14, 2017. Download do PDF
  34. Rebouças Filho, Pedro Pedrosa; SARMENTO, R. M. ; HOLANDA, G. B. ; LIMA, D. A. . New approach to detect and classify stroke in skull CT images via Analysis of Brain Tissue Densities. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 148, p. 27-43, 2017. Download do PDF
  35. ALBUQUERQUE, V. H. C. ; DAMASEVICIUS, R. ; GARCIA, N. M. ; PINHEIRO, P. R. ; Rebouças Filho, Pedro Pedrosa . Brain Computer Interface Systems for Neurorobotics: Methods and Applications. Biomed Research International, v. 2017, p. 1, 2017.  Download do PDF
  36. SILVA, R. D. C. ; ALBUQUERQUE, S. G. C. ; MUNIZ, A. V. ; Rebouças Filho, Pedro Pedrosa ; RIBEIRO, S. ; PINHEIRO, P. R. ; ALBUQUERQUE, V. H. C. . Reducing the Schizophrenia Stigma: A New Approach Based on Augmented Reality. Computational Intelligence and Neuroscience, v. 2017, p. 1-10, 2017. Download do PDF
  37. RODRIGUES, D. A. ; SANTOS, G. P. ; FERNANDES, M. C. ; SANTOS, J. C. ; FREITAS, F. N. C. ; Rebouças Filho, Pedro Pedrosa . Classificaçâo automatica do tipo de ferro fundido utilizando reconhecimento de padrões em imagens de microscopia. Materia-Rio de Janeiro, v. 22, p. 1-16, 2017. Download do PDF
  38. NETO, LUIZ C. ; RAMALHO, GERALDO L.B. ; NETO, JEOVÁ F.S.R. ; VERAS, RODRIGO M.S. ; MEDEIROS, FATIMA N.S. . An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images. Expert Systems with Applications, v. 78, p. 182-192, 2017. Download do PDF
  39. SOUZA, M. M. S. ; MEDEIROS, F. N. S. ; Ramalho, G. L B ; PAULA, I. C. ; OLIVEIRA, I. N. S. . Evolutionary optimization of a multiscale descriptor for leaf shape analysis. Expert Systems with Applications, v. 63, p. 375-385, 2016. Download do PDF
  40. GOMES, S. L. ; REBOUÇAS, E. S. ; Cavalcanti Neto, E. ; Papa, J. P. ; ALBUQUERQUE, V. H. C. ; Rebouças Filho, Pedro Pedrosa ; TAVARES, J. M. R. S. . Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural Computing & Applications (Print), p. 1-12, 2016. Download do PDF
  41. MOREIRA, F. D. L.; KLEINBERG, M. N.; ARRUDA, H. F. ; FREITAS, F. N. C.; PARENTE, M. M. V. ; ALBUQUERQUE, V. H. C. ; Rebouças Filho, Pedro Pedrosa. A novel Vickers hardness measurement technique based on adaptive Balloon Active Contour Method. Expert Systems with Applications, 2016. Download do PDF
  42. REBOUÇAS, E. S. ; BRAGA, A. M. ; MARQUES, R. C. P. ; REBOUÇAS FILHO, P. P. . A new approach to calculate the nodule density of ductile cast iron graphite using a Level set. Measurement (London. Print), v. 89, p. 316-321, 2016. Download do PDF
  43. LOPES, G. S. ; SILVA, D. C. ; RODRIGUES, A. W. O. ; Rebouças Filho, Pedro Pedrosa . Recognition of handwritten digits using the signature features and Optimum-Path Forest Classifier. Revista IEEE América Latina, 2016. Download do PDF
  44. Cavalcanti Neto, E. ; CORTEZ, P. C. ; CAVALCANTE, T. S. ; SILVA FILHO, V. E. R. ; Rebouças Filho, Pedro Pedrosa ; HOLANDA, M. A. . 3D Lung Fissure Segmentation in TC images based in Textures. Revista IEEE América Latina, v. 14, p. 254-258, 2016. Download do PDF
  45. FREITAS, N. C. A. ; Rebouças Filho, Pedro Pedrosa ; MOURA, C. D. G. ; SILVA, M. P. S.  AgentGeo: Multi-Agent System of Satellite Images Mining. Revista IEEE América Latina, v. 14, p. 1343-1351, 2016. Download do PDF
  46. REGES, J. P., MOREIRA, F. D. L., BEZERRA, L. D. S., ALEXANDRIA, A. R., Rebouças Filho, Pedro Pedrosa. Thermographic Image Processing Application in Solar Followers. Revista IEEE América Latina. V.13, p.3350 – 3358, 2015. Download do PDF
  47. CUNHA, M. A. Q. ; SCHMIDLIN JUNIOR, C. R. ; PEREIRA, A. H. ; Rebouças Filho, Pedro Pedrosa . Energy efficient pumping system with flow control by speed variation. Revista IEEE América Latina, v.13, p.2928 – 2934, 2015. Download do PDF
  48. Rebouças Filho, Pedro Pedrosa ; MOREIRA, F. D. L. ; XAVIER, F. G. L. ; GOMES, S. L. ; SANTOS, J. C. ; FREITAS, F. N. C. ; FREITAS, R. G. . New Analysis Method Application in Metallographic Images through the Construction of Mosaics Via Speeded Up Robust Features and Scale Invariant Feature Transform. Materials (Basel), v. 8, p. 3864-3882, 2015. Download do PDF
  49. ALBUQUERQUE, V. H. C. ; BARBOSA, C. ; SILVA, C. C. ; MOURA, E. ; Rebouças Filho, Pedro Pedrosa ; Papa, J. P. ; TAVARES, J. M. R. S. . Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy. Sensors (Basel), v. 15, p. 12474-12497, 2015. Download do PDF
  50. Cavalcanti Neto, E. ; GOMES, S. L. ; Rebouças Filho, Pedro Pedrosa ; DE ALBUQUERQUE, VICTOR HUGO C. . Brazilian vehicle identification using a new embedded plate recognition system. Measurement (London. Print), p. 36-46, 2015. Download do PDF
  51. REBOUÇAS, E. S. ; SARMENTO, R. M. ; Rebouças Filho, P. P. . 3D Adaptive Balloon Active Contour: method of segmentation of structures in three dimensions. Revista IEEE América Latina, v. 13, p. 195-203, 2015. Download do PDF
  52. Cavalcanti Neto, E. ; REBOUÇAS, E. S. ; MORAES, J. L. ; GOMES, S. L. ; Rebouças Filho, P. P. . Development control parking access using techniques Digital Image Processing and Applied Computational Intelligence. Revista IEEE América Latina, v. 13, p. 272-276, 2015. Download do PDF
  53. Rebouças Filho, Pedro Pedrosa ; SARMENTO, R. M. ; Cortez, Paulo César ; BARROS, A. C. S. ; DE ALBUQUERQUE, VICTOR HUGO C. . Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures. International Journal of Computer Applications, v. 111, p. 1-8, 2015. Download do PDF
  54. REBOUÇAS, E. S. ; GOMES, S. L. ; Rebouças Filho, Pedro Pedrosa. Computer Vision System to Aid Drivers of Vehicles through Vertical Signaling Traffic. International Journal of Computer Applications, v. 115, p. 1-7, 2015. Download do PDF
  55. Peixoto, F. M. ; REBOUÇAS, E. S. ; XAVIER, F. G. L. ; Rebouças Filho, Pedro Pedrosa . Desenvolvimento de um Software para cálculo da densidade de nódulos de grafita em ferro fundido nodular através de Processamento Digital de Imagens. Matéria (UFRJ), 2015. Download do PDF
  56. BARROS, A. C. S. ; BATTOCCHIO, R. A. ; REBOUÇAS, E. S. ; Rebouças Filho, P. P. . Controle de cargas por meio de dispositivos móveis e tecnologias sem fio. Conexões : Ciência e Tecnologia, 2015. Download do PDF
  57. MOREIRA, F. D. L. ; XAVIER, F. G. L. ; FREITAS, F. N. C. ; Rebouças Filho, P. P. . DEVELOPMENT OF A PROGRAM FOR MEASURING THE AVERAGE SIZE OF THE AUTOMATIC GRAIN ELECTRIC STEEL GNO USING COMPUTER VISION. São Luis: INNOVER – IFMA, 2015 (Periódico novo – sem ISSN). Download do PDF
  58. Rebouças Filho, Pedro Pedrosa ; Cortez, Paulo César ; BARROS, ANTÔNIO CARLOS DA SILVA ; DE ALBUQUERQUE, VICTOR HUGO C. . Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation – A systematic evaluation on synthetic and real images. Expert Systems with Applications, v. 41, p. 7707-7721, 2014. Download do PDF 
  59. RAMALHO, G. B. ; Rebouças Filho, Pedro Pedrosa ; MEDEIROS, F. N. S. ; CORTEZ, P. C. . Lung Disease Detection Using Feature Extraction and ELM Neural Network. Revista Brasileira de Engenharia Biomédica (Impresso), 2014. Download do PDF
  60. RAMALHO, G. B. ; PEREIRA, A. H. ; Rebouças Filho, Pedro Pedrosa ; MEDEIROS, C. M. S. . Detecção de falhas em motores elétricos através da classificação de padrões de vibração utilizando uma Rede Neural ELM. Holos (Natal. Online), 2014. Download do PDF40GOMES, S. L. ; REBOUÇAS, E. S. ; Rebouças Filho, Pedro Pedrosa . Reconhecimento Óptico de Caracteres para Reconhecimento das Sinalizações Verticais das vias de trânsito. Revista SODEBRAS, 2014. Download do PDF
  61. Rebouças Filho, P. P. ; DE ALBUQUERQUE, VICTOR HUGO C. ; CAVALCANTE, T. S. ; Tavares, J.M.R.S . Ferramenta computacional para análise de imagens de ensaios mecânicos de dureza. Revista Tecnologia (UNIFOR), 2014. Download do PDF
  62. ALMEIDA, J. S. ; NASCIMENTO, R. S. ; Rebouças Filho, Pedro Pedrosa . DEVELOPMENT OF NAVIGATION SYSTEM FOR AN AUTONOMOUS MOBILE ROBOT VIA THE CONSTRUCTION OF A LOCAL MAP. IFMA: INNOVER JOURNAL, 2014 (Periódico novo – sem ISSN). Download do PDF
  63. Rebouças Filho, P. P. ; CORTEZ, P. C. ; FELIX, J. H. S. ; CAVALCANTE, T. S. ; HOLANDA, M. A. . Adaptive 2D Crisp Active Contour Model applied to lung segmentation in CT images of the thorax of healthy volunteers and patients with pulmonary emphysema, p. 363-376, 2013. Download do PDF
  64. Rebouças Filho, PEDRO P. ; CORTEZ, P. C. ; ALBUQUERQUE,V.H.C. 3D segmentation and visualization of lung and its structures using CT images of the thorax. Journal of Biomedical Science and Engineering, v. 06, p. 1099-1108, 2013. Download do PDF 
  65. RAMALHO, G. L. B. ; SCHMIDLIN Jr, C. R. ; BEZERRA, L. D. S. ; DIAS, S. V. . Monitoramento de condição de máquina utilizando acelerômetro MEMS. Revista Tecnologia (UNIFOR), v. 33, p. 63-72, 2012. Download do PDF
  66. Rebouças Filho, P. P. ; CORTEZ, P. C. ; Holanda, Marcelo Alcântara . Modelo de Contorno Ativo Crisp: nova técnica de segmentação dos pulmões em imagens de TC. Revista Brasileira de Engenharia Biomédica (Impresso), v. 27, p. 259-272, 2011. Download do PDF 
  67. Rebouças Filho, P. P. ; Camargo, H. V. R. . Modelagem e Desenvolvimento de uma ferramenta computacional para dimensionamento de um sistema de bombeamento. Conexões : Ciência e Tecnologia, v. 4, p. 53-62, 2010. Download do PDF
  68. ALBUQUERQUE,V.H.C. ; Rebouças Filho, P. P. ; CAVALCANTE, T. S. ; Tavares, J.M.R.S . New computational solution to quantify synthetic material porosity from optical microscopic images. Journal of Microscopy (Print), 2010. Download do PDF\Rebouças Filho, P. P. ; CAVALCANTE, T. S. ; ALBUQUERQUE,V.H.C. ; Silva, C. C. ; Tavares, J.M.R.S . Sistema computacional para determinação da taxa de diluição em soldadura. Mecânica Experimental, v. 18, p. 55-61, 2010. Download do PDF
  69. Rebouças Filho, P. P.CAVALCANTE, T. S.ALBUQUERQUE,V.H.C.; TAVARES, JOÃO MANUEL R. S. . Brinell and Vickers Hardness Measurement Using Image Processing and Analysis Techniques. Journal of Testing and Evaluation, v. 38, p. 102220, 2010. Download do PDF
  70. Medeiros, Fátima N. S. ; RAMALHO, G. L. B. ; Bento, Mariana P. ; Medeiros, Luiz C. L. . On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection. EURASIP Journal on Advances in Signal Processing (Print), v. 2010, p. 1-8, 2010. Download do PDF
  71. RAMALHO, G. L. B. ; DIAS, S. V. . Estimativa da Velocidade Média Diária do Vento no Município de Fortaleza Utilizando Redes Neurais Artificiais. Conexões : Ciência e Tecnologia, v. 3, p. 12-15, 2009. Download do PDF