Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem. - Igor Betkier; Mateusz Oszczypala; Janusz Pobozniak; Sergiusz Sobieski (HPEC, 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, 2023)

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)

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)

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)

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)

Reliability analysis and redundancy optimization of k-out-of-n systems with random variable k using continuous time Markov chain and Monte Carlo simulation. - Mateusz Oszczypala; Jakub Konwerski; Jaroslaw Ziolkowski; Jerzy Malachowski (Reliab. Eng. Syst. Saf., 2024)

Bi-objective redundancy allocation problem in systems with mixed strategy: NSGA-II with a novel initialization. - Mateusz Oszczypala (Reliab. Eng. Syst. Saf., 2025)