Anna Wawrzynczak

发表

Algorithms for Forward and Backward Solution of the Fokker-Planck Equation in the Heliospheric Transport of Cosmic Rays

Anna Wawrzynczak, Renata Modzelewska, Agnieszka Gil, 2017, PPAM.

Data-driven Genetic algorithm in Bayesian estimation of the abrupt atmospheric contamination source

Anna Wawrzynczak, Marcin Jaroszynski, Mieczyslaw Borysiewicz, 2014, 2014 Federated Conference on Computer Science and Information Systems.

Stochastic algorithm for estimation of the model's unknown parameters via Bayesian inference

Anna Wawrzynczak, Mieczyslaw Borysiewicz, Piotr Kopka, 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

Numerical Solution of the Time and Rigidity Dependent Three Dimensional Second Order Partial Differential Equation

Anna Wawrzynczak, Michael V. Alania, M. Alania, 2009, PPAM.

Approximate Bayesian Computation for Estimating Parameters of Data-Consistent Forbush Decrease Model

Anna Wawrzynczak, Piotr Kopka, P. Kopka, 2018, Entropy.

Computation of the Airborne Contaminant Transport in Urban Area by the Artificial Neural Network

Anna Wawrzynczak, Monika Berendt-Marchel, 2020, ICCS.

The Algorithm of Area Optimization by Layers and Binary Classification with use of Three State 2D Cellular Automata

Anna Wawrzynczak, Miroslaw Szaban, 2018, 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO).

Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source

Anna Wawrzynczak, M. Jaroszynski, Mieczyslaw Borysiewicz, 2016 .

Bayesian Methodology in the Stochastic Event Reconstruction Problems

Anna Wawrzynczak, Piotr Kopka, Mieczyslaw Borysiewicz, 2014 .

Parallelizing the code of the Fokker-Planck equation solution by stochastic approach in Julia programming language

Anna Wawrzynczak, A. Wawrzynczak, 2018, FedCSIS.

The Approximate Bayesian Computation methods in the localization of the atmospheric contamination source

Anna Wawrzynczak, Mieczyslaw Borysiewicz, Piotr Kopka, 2015 .

Sequential Monte Carlo in Bayesian Assessment of Contaminant Source Localization Based on the Sensors Concentration Measurements

Anna Wawrzynczak, Mieczyslaw Borysiewicz, Piotr Kopka, 2013, PPAM.

Testing the Algorithm of Area Optimization by Binary Classification with Use of Three State 2D Cellular Automata in Layers

Anna Wawrzynczak, Miroslaw Szaban, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Time dependent global optimization via Bayesian inference and Sequential Monte Carlo sampling

Anna Wawrzynczak, Mieczyslaw Borysiewicz, Piotr Kopka, 2013, 2013 Federated Conference on Computer Science and Information Systems.

Bayesian-Based Methods for the Estimation of the Unknown Model’s Parameters in the Case of the Localization of the Atmospheric Contamination Source

Anna Wawrzynczak, Mieczyslaw Borysiewicz, Piotr Kopka, 2012 .

Can the Artificial Neural Network Be Applied to Estimate the Atmospheric Contaminant Transport?

Anna Wawrzynczak, Monika Berendt-Marchel, 2019, HPC.

Solution of the Stochastic Differential Equations Equivalent to the Non-stationary Parker Transport Equation by the Strong Order Numerical Methods

Anna Wawrzynczak, Renata Modzelewska, R. Modzelewska, 2016, NAA.

Application of the Generalized Extremal Optimization and Sandpile Model in Search for the Airborne Contaminant Source

Anna Wawrzynczak, Miroslaw Szaban, Monika Berendt-Marchel, 2021, PaCT.

Application of the Layered Algorithm in search of an airborne contaminant source

Anna Wawrzynczak, Miroslaw Szaban, 2022, J. Parallel Distributed Comput..

Framework for stochastic identification of atmospheric contamination source in an urban area

Anna Wawrzynczak, Piotr Kopka, 2018, Atmospheric Environment.

Application of the Approximate Bayesian Computation methods in the stochastic estimation of atmospheric contamination parameters for mobile sources

Anna Wawrzynczak, Piotr Kopka, Mieczyslaw Borysiewicz, 2016 .