Piotr Przystałka
Cytowane przez
Cytowane przez
A method of leakage location in water distribution networks using artificial neuro-fuzzy system
D Wachla, P Przystalka, W Moczulski
IFAC-PapersOnLine 48 (21), 1216-1223, 2015
Damage assessment in composite plates using fractional wavelet transform of modal shapes with optimized selection of spatial wavelets
A Katunin, P Przystałka
Engineering Applications of Artificial Intelligence 30, 73-85, 2014
Smart water in smart city: a case study
J Karwot, J Kaźmierczak, R Wyczółkowski, W Paszkowski, P Przystałka
Proceedings of SGEM 16th International Scientific Conference on EARTH …, 2016
Model-based optimization of velocity strategy for lightweight electric racing cars
M Targosz, W Skarka, P Przystałka
Journal of Advanced Transportation 2018, 2018
Methodology of neural modelling in fault detection with the use of chaos engineering
P Przystałka, W Moczulski
Engineering Applications of Artificial Intelligence 41, 25-40, 2015
Velocity planning of an electric vehicle using an evolutionary algorithm
M Targosz, M Szumowski, W Skarka, P Przystałka
Activities of Transport Telematics: 13th International Conference on …, 2013
Semantic segmentation of human oocyte images using deep neural networks
A Targosz, P Przystałka, R Wiaderkiewicz, G Mrugacz
BioMedical Engineering OnLine 20 (1), 40, 2021
Experimental investigations of the influence of laser beam and plasma arc cutting parameters on edge quality of high-strength low-alloy (HSLA) strips and plates
A Klimpel, W Cholewa, A Bannister, K Luksa, P Przystałka, T Rogala, ...
The International Journal of Advanced Manufacturing Technology 92, 699-713, 2017
A methodology of leakage detection and location in water distribution networks—The case study
W Moczulski, R Wyczółkowski, K Ciupke, P Przystałka, P Tomasik, ...
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 331-336, 2016
Influence of outliers introduction on predictive models quality
M Kalisch, M Michalak, M Sikora, Ł Wróbel, P Przystałka
Beyond Databases, Architectures and Structures. Advanced Technologies for …, 2016
Automated wavelet-based damage identification in sandwich structures using modal curvatures
A Katunin, P Przystałka
Journal of Vibroengineering 17 (6), 2977-2986, 2015
Model-based fault detection and isolation using locally recurrent neural networks
P Przystałka
International Conference on Artificial Intelligence and Soft Computing, 123-134, 2008
Modern ICT and mechatronic systems in contemporary mining industry
W Moczulski, P Przystałka, M Sikora, R Zimroz
Rough Sets: International Joint Conference, IJCRS 2016, Santiago de Chile …, 2016
Detection and localization of delaminations in composite beams using fractional B-spline wavelets with optimized parameters
A KATunin, P PrzysTAłKA
Eksploatacja i Niezawodność 16 (3), 391-399, 2014
Behavior-based control system of a mobile robot for the visual inspection of ventilation ducts
W Panfil, P Przystałka, M Adamczyk
Recent Advances in Mechatronics, 62-66, 2007
Structural diagnostics of composite beams using optimally selected fractional B-spline wavelets
A Katunin, P Przystałka
Intelligent Systems in Technical and Medical Diagnostics, 475-486, 2014
Optimal placement of sensors and actuators for leakage detection and localization
P Przystałka, W Moczulski
IFAC Proceedings Volumes 45 (20), 666-671, 2012
SysDetLok-a leakage detection and localization system for water distribution networks
W Moczulski, J Karwot, R Wyczółkowski, D Wachla, K Ciupke, ...
IFAC-PapersOnLine 51 (24), 521-528, 2018
Meta-optimization method for wavelet-based damage identification in composite structures
A Katunin, P Przystalka
2014 Federated Conference on Computer Science and Information Systems, 429-438, 2014
Team of specialized mobile robots for group inspection of large-area technical objects
W Moczulski, M Adamczyk, M Januszka, W Panfil, P Przystałka, M Wyleżoł
Robot Motion and Control 2009, 411-420, 2009
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