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Patryk Bałazy
标题
引用次数
引用次数
年份
Positioning algorithm for AGV autonomous driving platform based on artificial neural networks
P Bałazy, P Gut, P Knap
Robotic Systems and Applications 1 (2), 41-45, 2021
142021
Boosted Convolutional Neural Network Algorithm for the Classification of the Bearing Fault Form 1-D Raw Sensor Data
P Knap, K Lalik, P Bałazy
Sensors 23 (9), 4295, 2023
112023
Neural classifying system for predictive maintenance of rotating devices.
P Balazy, P Gut, P Knap
IOP Conference Series: Materials Science and Engineering 1239 (1), 012013, 2022
52022
Smart IoT platform for Big Data analysis in predictive maintenance
J Przepióra, P Bałazy, P Książek, P Knap, P Pasławski, M Pietrzak
2023 24th International Carpathian Control Conference (ICCC), 353-357, 2023
42023
Convolutional mask-wearing recognition algorithm for an interactive smart biometric platform
P Bałazy, P Gut, P Knap
Robotic Systems and Applications 1 (2), 35-40, 2021
32021
Application of ANN control algorithm for optimizing performance of a hybrid ORC power plant
S Podlasek, M Jankowski, P Bałazy, K Lalik, R Figaj
Energy, 132082, 2024
22024
IMPROVED DEEP LEARNING APPROACH IN WIND TURBINE DAMAGE DETECTION
K Paweł, B Patryk
International Multidisciplinary Scientific GeoConference: SGEM 22 (4.2), 547-552, 2022
22022
Tool Wear Detection in Milling Process Using Long Short-Term Memory Networks: An Industry 4.0 Approach
P Knap, U Jachymczyk, P Bałazy
Machines. Technologies. Materials. 17 (4), 148-151, 2023
12023
Neural algorithm for optimization of multidimensional object controller parameters
P Bałazy, K Lalik, P Knap
Neural Computing and Applications 36 (25), 15907-15924, 2024
2024
Reinforcement Lerning-Based Overhead Crane Control for Handling in Sensor-Failure Scenarios
P Balazy, S Podlasek
2024 25th International Carpathian Control Conference (ICCC), 1-5, 2024
2024
Approach to Bearing Fault Diagnosis: CNN-Based Classification Across Different Preprocessing Techniquese
U Jachymczyk, P Knap, P Balazy, S Podlasek, K Lalik
2024 25th International Carpathian Control Conference (ICCC), 1-5, 2024
2024
Robust Reinforcement Learning For Overhead Crane Control With Variable Load Conditions
P Balazy, K Pieprzycki, P Knap
2024 25th International Carpathian Control Conference (ICCC), 01-06, 2024
2024
Design of a Learning Station for Object Regulation of Various Control Systems for Energy Sector
S Podlasek, P Knap, K Lalik, P Bałazy
2024 25th International Carpathian Control Conference (ICCC), 1-5, 2024
2024
Deep Learning Damage Forecasting for Rotating Devices Using Bayesian Sub-predictors
P Knap, P Bałazy, S Podlasek
International Conference Mechatronics, 15-28, 2023
2023
Comparative Analysis of RL-Based Algorithms for Complex Systems Control
P Bałazy, P Knap, S Podlasek
International Conference Mechatronics, 1-14, 2023
2023
CONTROL SYSTEM REDUCING ENERGY CONSUMPTION OF MANIPULATOR DRIVES BASED ON REINFORCEMENT LEARNING
P Bałazy, P Knap, T Turlej, A Stefańczyk
International Multidisciplinary Scientific GeoConference: SGEM 23 (2.1), 49-56, 2023
2023
Trends in non-linear MIMO Objects Control in the Era of Industry 4.0: The Use of Artificial Neural Networks
P Bałazy, U Jachymczyk
Intelligent filtering system for self-excited acoustic measurement system
K LALIK, M KOZEK, P BAŁAZY, P GUT, P KNAP
MSM 2021, 18, 0
Zastosowanie głębokiego uczenie przez wzmacnianie w wyznaczaniu optymalnej trajektorii manipulatora o pięciu stopniach swobody
A Stefańczyk, P Bałazy, P Knap, T Turlej
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