Leizer Schnitman
Leizer Schnitman
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Applications of information theory, genetic algorithms, and neural models to predict oil flow
O Ludwig Jr, U Nunes, R Araújo, L Schnitman, HA Lepikson
Communications in Nonlinear Science and Numerical Simulation 14 (7), 2870-2885, 2009
Highway traffic congestion classification using holistic properties
LO Andrews Sobral, L Schnitman, F De Souza
10th IASTED International Conference on Signal Processing, Pattern …, 2013
Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks.
MAD Bezerra, L Schnitman, MA Barreto Filho, AM Jose, F de Souza
ICEIS (2), 351-355, 2009
A new approach to diagnosis of sucker rod pump systems by analyzing segments of downhole dynamometer cards
GD Reges, L Schnitman, R Reis, F Mota
SPE artificial lift conference—Latin America and Caribbean, 2015
Electric submersible pump vibration analysis under several operational conditions for vibration fault differential diagnosis
G Reges, M Fontana, M Ribeiro, T Silva, O Abreu, R Reis, L Schnitman
Ocean Engineering 219, 108249, 2021
Using artificial neural networks for pattern recognition of downhole dynamometer card in oil rod pump system
A De Souza, M Bezerra, MA Barreto Filho, L Schnitman
Proceedings of the 8th WSEAS international conference on artificial …, 2009
Modeling and implementation of a system for sucker rod downhole dynamometer card pattern recognition
L Schnitman, GS Albuquerque, JF Corrêa, H Lepikson, ACP Bitencourt
SPE Annual Technical Conference and Exhibition?, SPE-84140-MS, 2003
Learning to segment roads for traffic analysis in urban images
M Santos, M Linder, L Schnitman, U Nunes, L Oliveira
2013 IEEE Intelligent Vehicles Symposium (IV), 527-532, 2013
Using NARX model with wavelet network to inferring the polished rod position
E Cajueiro, R Kalid, L Schnitman
International journal of Mathematics and Computers in simulation 6 (1), 66-73, 2012
Analysis of exact linearization and aproximate feedback linearization techniques
GS Cardoso, L Schnitman
Mathematical Problems in Engineering 2011, 2011
Feedback linearization and model reference adaptive control of a magnetic levitation system
LHS Torres, L Schnitman, C Junior, JAMF de Souza
Studies in Informatics and Control 21 (1), 67-74, 2012
Takagi-Sugeno-Kang fuzzy structures in dynamic system modeling
L Schnitman, T Yoneyama
Proceedings of the IASTED International Conference on Control and …, 2001
A Bayesian approach to the dynamic modeling of ESP-lifted oil well systems: An experimental validation on an ESP prototype
EA Costa, OSL de Abreu, TO Silva, MP Ribeiro, L Schnitman
Journal of Petroleum Science and Engineering 205, 108880, 2021
Automated detection of segmental glomerulosclerosis in kidney histopathology
IC de Araújo, L Schnitman, AA Duarte, WL dos Santos
XIII Brazilian Congress on Computational Intelligence 12, 2017
Multi-scale spectral residual analysis to speed up image object detection
G Silva, L Schnitman, L Oliveira
2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 79-86, 2012
An Adaptive Infinite Horizon Model Predictive Control Strategy Applied to an ESP-lifted Oil Well System
BA Santana, RM Fontes, L Schnitman, MAF Martins
IFAC-PapersOnLine 54 (3), 176-181, 2021
Adaptive Artificial Potential Fields with Orientation Control Applied to Robotic Manipulators
CCB Viturino, UMP Junior, AGS Conceição, L Schnitman
IFAC-PapersOnLine 53 (2), 9924-9929, 2020
Modeling failure rate of a robotic welding station using generalized q-distributions
EM Assis, EP Borges, SAB Vieira de Melo, L Schnitman
International Journal of Quality & Reliability Management 32 (2), 156-166, 2015
Detection of facial landmarks using local-based information
C Silva, L Schnitman, L Oliveira
19th Brazilian Conference on Automation, 2012
Exact linearization and fuzzy logic applied to the Control of a magnetic levitation system
LHS Torres, CAV Vasconcelos, L Schnitman, JAMF de Souza
International Conference on Fuzzy Systems, 1-5, 2010
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