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2020 – today
- 2022
[c14]Grzegorz Wójcik
, Piotr Przystalka:
LSTM Model-Based Fault Detection for Electric Vehicle's Battery Packs. DPS 2022: 217-229- [c13]Anna Gnacy-Gajdzik, Marcin Gajdzik, Piotr Przystalka, Kamil Sternal:
A Model-Based Approach for Testing Automotive Embedded Systems - A Preliminary Study. DPS 2022: 340-351 - 2021
- [c12]Marcin Gajdzik, Kamil Sternal, Anna Timofiejczuk, Piotr Przystalka:
A Glimpse into the Low-Cost Protection Method Dedicated for Electric Cars *. SysTol 2021: 72-78
2010 – 2019
- 2019
- [c11]Andrzej Skrzypek, Wawrzyniec Panfil, Mateusz Kosior, Piotr Przystalka:
Control System Shell of Mobile Robot with Voice Recognition Module. RoMoCo 2019: 191-196 - 2016
- [c10]Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka:
Influence of Outliers Introduction on Predictive Models Quality. BDAS 2016: 79-93 - [c9]Piotr Przystalka, Andrzej Katunin:
A Concept of Automatic Tuning of Longwall Scraper Conveyor Model. FedCSIS 2016: 601-604 - [c8]Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka:
Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach. ICAISC (2) 2016: 73-87 - [c7]Wojciech Moczulski, Piotr Przystalka, Marek Sikora, Radoslaw Zimroz:
Modern ICT and Mechatronic Systems in Contemporary Mining Industry. IJCRS 2016: 33-42 - [c6]Mateusz Kalisch, Marcin Michalak, Piotr Przystalka, Marek Sikora, Lukasz Wróbel:
Outlier Detection and Elimination in Stream Data - An Experimental Approach. IJCRS 2016: 416-426 - 2015
- [j2]Piotr Przystalka, Wojciech Moczulski:
Methodology of neural modelling in fault detection with the use of chaos engineering. Eng. Appl. Artif. Intell. 41: 25-40 (2015) - 2014
- [j1]Andrzej Katunin, Piotr Przystalka:
Damage assessment in composite plates using fractional wavelet transform of modal shapes with optimized selection of spatial wavelets. Eng. Appl. Artif. Intell. 30: 73-85 (2014) - [c5]Mateusz Kalisch, Piotr Przystalka, Anna Timofiejczuk:
Actuator Fault Diagnosis Using Single and Meta-Classification Strategies. AI4KM@FedCSIS 2014: 132-149 - [c4]Andrzej Katunin, Piotr Przystalka:
Meta-optimization method for wavelet-based damage identification in composite structures. FedCSIS 2014: 429-438 - [c3]Mateusz Kalisch, Piotr Przystalka, Anna Timofiejczuk:
Application of selected classification schemes for fault diagnosis of actuator systems. FedCSIS 2014: 1381-1390 - 2013
- [c2]Miroslaw Targosz, Michal Szumowski, Wojciech Skarka, Piotr Przystalka:
Velocity Planning of an Electric Vehicle Using an Evolutionary Algorithm. TST 2013: 171-177
2000 – 2009
- 2008
- [c1]Piotr Przystalka:
Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks. ICAISC 2008: 123-134
Coauthor Index
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