Numerical Solution of the Time and Rigidity Dependent Three Dimensional Second Order Partial Differential Equation. - Anna Wawrzynczak; Michael V. Alania (PPAM (1), 2009)

Stochastic algorithm for estimation of the model's unknown parameters via Bayesian inference. - Mieczyslaw Borysiewicz; Anna Wawrzynczak-Szaban; Piotr Kopka (FedCSIS, 2012)

Time dependent global optimization via Bayesian inference and Sequential Monte Carlo sampling. - Piotr Kopka; Anna Wawrzynczak; Mieczyslaw Borysiewicz (FedCSIS, 2013)

Sequential Monte Carlo in Bayesian Assessment of Contaminant Source Localization Based on the Sensors Concentration Measurements. - Anna Wawrzynczak; Piotr Kopka; Mieczyslaw Borysiewicz (PPAM (2), 2013)

Data-driven Genetic Algorithm in Bayesian estimation of the abrupt atmospheric contamination. - Anna Wawrzynczak-Szaban; Marcin Jaroszynski; Mieczyslaw Borysiewicz (FedCSIS, 2014)

Solution of the Stochastic Differential Equations Equivalent to the Non-stationary Parker Transport Equation by the Strong Order Numerical Methods. - Anna Wawrzynczak; Renata Modzelewska (NAA, 2016)

Algorithms for Forward and Backward Solution of the Fokker-Planck Equation in the Heliospheric Transport of Cosmic Rays. - Anna Wawrzynczak; Renata Modzelewska; Agnieszka Gil (PPAM (1), 2017)

Testing the Algorithm of Area Optimization by Binary Classification with Use of Three State 2D Cellular Automata in Layers. - Miroslaw Szaban; Anna Wawrzynczak (FedCSIS, 2018)

Parallelizing the code of the Fokker-Planck equation solution by stochastic approach in Julia programming language. - Anna Wawrzynczak (FedCSIS (Communication Papers), 2018)

Approximate Bayesian Computation for Estimating Parameters of Data-Consistent Forbush Decrease Model. - Anna Wawrzynczak; Piotr Kopka (Entropy, 2018)

Can the Artificial Neural Network Be Applied to Estimate the Atmospheric Contaminant Transport? - Anna Wawrzynczak; Monika Berendt-Marchel (HPC, 2019)

Computation of the Airborne Contaminant Transport in Urban Area by the Artificial Neural Network. - Anna Wawrzynczak; Monika Berendt-Marchel (ICCS (2), 2020)

Application of the Generalized Extremal Optimization and Sandpile Model in Search for the Airborne Contaminant Source. - Miroslaw Szaban; Anna Wawrzynczak; Monika Berendt-Marchel; Lukasz Marchel (PaCT, 2021)

Feedforward neural networks in forecasting the spatial distribution of the time-dependent multidimensional functions. - Anna Wawrzynczak; Monika Berendt-Marchel (IJCNN, 2022)

Application of the Layered Algorithm in search of an airborne contaminant source. - Miroslaw Szaban; Anna Wawrzynczak (J. Parallel Distributed Comput., 2022)

How to Select Superior Neural Network Simulating Inner City Contaminant Transport? Verification and Validation Techniques. - Anna Wawrzynczak; Monika Berendt-Marchel (ICCS (2), 2023)