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Józef Korbicz
Józef Korbicz
professor of automatic control, University of Zielona Góra
Zweryfikowany adres z issi.uz.zgora.pl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Fault diagnosis: models, artificial intelligence, applications
J Korbicz, JM Koscielny, Z Kowalczuk
Springer Verlag, 2004
1090*2004
Sztuczne sieci neuronowe: podstawy i zastosowania
J Korbicz, A Obuchowicz, D Uciński
Akademicka Oficyna Wydawnicza PLJ, 1994
3771994
Diagnostyka procesów: modele: metody sztucznej inteligencji: zastosowania
J Korbicz
3562002
Diagnostyka procesów
J Korbicz, JM Kościelny, Z Kowalczuk, W Cholewa
Modele. Metody sztucznej inteligencji. Zastosowania. Wydawnictwa Naukowo …, 2002
356*2002
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
M Kowal, P Filipczuk, A Obuchowicz, J Korbicz, R Monczak
Computers in biology and medicine 43 (10), 1563-1572, 2013
3222013
A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem
M Witczak, J Korbicz, M Mrugalski, RJ Patton
Control Engineering Practice 14 (6), 671-683, 2006
1442006
Soft computing approaches to fault diagnosis for dynamic systems
JMF Calado, J Korbicz, K Patan, RJ Patton, J da Costa
European Journal of Control 7 (2-3), 248-286, 2001
1422001
„Biocybernetyka i inżynieria biomedyczna
W Duch, J Korbicz, L Rutkowski, R Tadeusiewicz
Sieci Neuronowe, EXIT, Warszawa, 2000
95*2000
Towards robustness in neural network based fault diagnosis
K Patan, M Witczak, J Korbicz
Zielona Góra: Uniwersytet Zielonogórski, 2008
932008
Neuro-fuzzy networks and their application to fault detection of dynamical systems
J Korbicz, M Kowal
Engineering Applications of Artificial Intelligence 20 (5), 609-617, 2007
742007
Cell nuclei segmentation in cytological images using convolutional neural network and seeded watershed algorithm
M Kowal, M Żejmo, M Skobel, J Korbicz, R Monczak
Journal of digital imaging 33, 231-242, 2020
732020
A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test
V Puig, M Witczak, F Nejjari, J Quevedo, J Korbicz
Engineering Applications of Artificial Intelligence 20 (7), 886-897, 2007
732007
Dynamic neural networks for process modelling in fault detection and isolation systems
J Korbicz, K Patan, A Obuchowicz
Applied Mathematics and Computer Science 9, 519-546, 1999
721999
A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems
M Buciakowski, M Witczak, V Puig, D Rotondo, F Nejjari, J Korbicz
Journal of Process Control 52, 14-25, 2017
692017
Genetic programming based approaches to identification and fault diagnosis of non-linear dynamic systems
M Witczak, A Obuchowicz, J Korbicz
International Journal of Control 75 (13), 1012-1031, 2002
692002
Confidence estimation of the multi-layer perceptron and its application in fault detection systems
M Mrugalski, M Witczak, J Korbicz
Engineering Applications of Artificial Intelligence 21 (6), 895-906, 2008
652008
A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem
MF Metenidis, M Witczak, J Korbicz
Engineering Applications of Artificial Intelligence 17 (4), 363-370, 2004
632004
LMI-based strategies for designing observers and unknown input observers for non-linear discrete-time systems
J Korbicz, M Witczak, V Puig
Bulletin of the polish academy of sciences technical sciences, 31-42-31-42, 2007
582007
Analytical and knowledge‐based redundancy for fault diagnosis in process plants
Z Fathi, WF Ramirez, J Korbicz
AIChE journal 39 (1), 42-56, 1993
581993
Nonlinear model predictive control of a boiler unit: A fault tolerant control study
K Patan, J Korbicz
Control and Fault-Tolerant Systems (SysTol), 2010 Conference on, 738-743, 2010
562010
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