Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Embedded real-time speed limit sign recognition using image processing and machine learning techniques.

S. Gomes, E. de S. Rebouças, E. Neto, J. Papa, V. de Albuquerque, P. Filho, and J. Tavares. Neural Comput. Appl., 28 (S-1): 573-584 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

C Hugo

Victor Arenas C

Victor de Simoni

Victor-Hugo Becker

Victor Hugo Klagsbrunn

Other publications of authors with the same name

An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals.P. Chen, L. Wu, D. Peng, X. Gong, and V. de Albuquerque. IEEE Access, (2019)Health of Things Algorithms for Malignancy Level Classification of Lung Nodules.M. Rodrigues, R. da Nóbrega, S. Alves, P. Filho, J. Duarte, A. Sangaiah, and V. de Albuquerque. IEEE Access, (2018)Stroke Lesion Detection Using Convolutional Neural Networks.D. Pereira, P. Filho, G. de Rosa, J. Papa, and V. de Albuquerque. IJCNN, page 1-6. IEEE, (2018)Automatic 3D pulmonary nodule detection in CT images: A survey.I. Valente, P. Cortez, E. Neto, J. Soares, V. de Albuquerque, and J. Tavares. Comput. Methods Programs Biomed., (2016)Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals.T. Nunes, V. de Albuquerque, J. Papa, C. Silva, P. Normando, E. de Moura, and J. Tavares. Expert Syst. Appl., 40 (8): 3096-3105 (2013)ECG arrhythmia classification based on optimum-path forest.E. da S. Luz, T. Nunes, V. de Albuquerque, J. Papa, and D. Menotti. Expert Syst. Appl., 40 (9): 3561-3573 (2013)Ultrasonic sensor signals and self organized mapping with nearest neighbors for the microstructural characterization of thermally-aged Inconel 625 alloy.L. Marinho, P. Filho, and V. de Albuquerque. Comput. Ind., (2019)Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering.S. Lakshmanaprabu, K. Shankar, D. Gupta, A. Khanna, J. Rodrigues, P. Pinheiro, and V. de Albuquerque. Complex., (2018)Effective Features to Classify Big Data Using Social Internet of Things.S. Lakshmanaprabu, K. Shankar, A. Khanna, D. Gupta, J. Rodrigues, P. Pinheiro, and V. de Albuquerque. IEEE Access, (2018)Internet of Things Based on Electronic and Mobile Health Systems for Blood Glucose Continuous Monitoring and Management.J. Barata, R. Muñoz, R. Silva, J. Rodrigues, and V. de Albuquerque. IEEE Access, (2019)

BibSonomy

Disambiguation of "de Albuquerque, Victor Hugo C."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Embedded real-time speed limit sign recognition using image processing and machine learning techniques.

Please choose a person to relate this publication to

C Hugo

Victor Arenas C

Victor de Simoni

Victor-Hugo Becker

Victor Hugo Klagsbrunn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "de Albuquerque, Victor Hugo C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Embedded real-time speed limit sign recognition using image processing and machine learning techniques.

Please choose a person to relate this publication to

C Hugo

Victor Arenas C

Victor de Simoni

Victor-Hugo Becker

Victor Hugo Klagsbrunn

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Embedded real-time speed limit sign recognition using image processing and machine learning techniques.