Mateusz Oszczypala
Orcid: 0000-0002-1194-6913
According to our database1,
Mateusz Oszczypala authored at least 10 papers
between 2023 and 2026.
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Bibliography
2026
Estimating Accident Clearance Time: A Comparative Study of Genetic Algorithm-Optimized Neural Network and Random Forest Approaches.
IEEE Access, 2026
2025
Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies.
CoRR, December, 2025
Bi-objective redundancy allocation problem in systems with mixed strategy: NSGA-II with a novel initialization.
Reliab. Eng. Syst. Saf., 2025
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.
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.
Expert Syst. Appl., 2024
A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks.
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.
Appl. Soft Comput., 2024
Copula-Based Reliability Analysis of Vehicles Based on Censored Failures Data Using Reliability Importance Measures.
IEEE Access, 2024
2023
PocketFinderGNN: A manufacturing feature recognition software based on Graph Neural Networks (GNNs) using PyTorch Geometric and NetworkX.
SoftwareX, July, 2023
Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023