Mateusz Oszczypala

According to our database, Mateusz Oszczypala authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of seven.

2024

Reliability analysis and redundancy optimization of <i>k</i>-out-of-<i>n</i> systems with random variable <i>k</i> using continuous time Markov chain and Monte Carlo simulation.

Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski

Reliab. Eng. Syst. Saf., February, 2024

A genetic algorithm and particle swarm optimization for redundancy allocation problem in systems with limited number of non-cooperating repairmen.

Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski

Expert Syst. Appl., 2024

A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks.

Igor Betkier, Mateusz Oszczypala

Expert Syst. Appl., 2024

Redundancy allocation problem in repairable k-out-of-n systems with cold, warm, and hot standby: A genetic algorithm for availability optimization.

Mateusz Oszczypala, Jaroslaw Ziolkowski, Jerzy Malachowski

Appl. Soft Comput., 2024

Copula-Based Reliability Analysis of Vehicles Based on Censored Failures Data Using Reliability Importance Measures.

Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski

IEEE Access, 2024

2023

PocketFinderGNN: A manufacturing feature recognition software based on Graph Neural Networks (GNNs) using PyTorch Geometric and NetworkX.

Igor Betkier, Mateusz Oszczypala, Janusz Pobozniak, Sergiusz Sobieski, Przemyslaw Betkier

SoftwareX, July, 2023

Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem.

Igor Betkier, Mateusz Oszczypala, Janusz Pobozniak, Sergiusz Sobieski

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023