Barbara Mrzygłód

Associate Professor

Poland

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Articles (11)

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

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2022

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2022

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2022

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2020

Year:

2020

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2020

Collaborators (9)

Izabela Olejarczyk-Wożeńska

AGH University of Science and Technology

POLAND

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Zbigniew Gronostajski

University of Wrocław

POLAND

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K. Pasierbiewicz

AGH University of Science and Technology

POLAND

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Aneta Lukaszek-Solek

assistant professor (Metals Engineering and Computer Science)

POLAND

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Andrzej Opaliński

Assistant Professor

AGH University of Science and Technology

POLAND

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Piotr Macioł

Assistant Professor

POLAND

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Marcin Hojny

Associate Professor

AGH University of Science and Technology

POLAND

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Grzegorz Gumienny

Associate Professor

Lodz University of Technology

POLAND

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Krzysztof Regulski

associate professor

AGH University of Science and Technology

POLAND

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Barbara Mrzygłód

Research Interests

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Articles (11)

Modelling of phase transformations occurring in the process of austempered ductile iron manufacturing

Artificial neural networks as a tool for supporting a moulding sand control system based on the dependency between selected moulding sand properties

The Use of the XGBoost and Kriging Methods in the Prediction of the Microstructure of CGI Cast Iron

Data-Driven Model Selection for Compacted Graphite Iron Microstructure Prediction

Clinical and Polysomnographic Features Associated with Poor Sleep Quality in Patients with Obstructive Sleep Apnea

Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms

Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks

Modelling of plastic flow behaviour of metals in the hot deformation process using artificial intelligence methods

Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel

Application of artificial neural networks in the analysis of mechanisms destroying forging tools

Prediction of forging dies wear with the modified Takagi–Sugeno fuzzy identification method

Collaborators (9)

Izabela Olejarczyk-Wożeńska

Zbigniew Gronostajski

K. Pasierbiewicz

Aneta Lukaszek-Solek

Andrzej Opaliński

Piotr Macioł

Marcin Hojny

Grzegorz Gumienny

Krzysztof Regulski

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