Walczak, Natalia Anna

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Walczak, Natalia

Scientific title

dr hab.

ORCID

0000-0003-0344-585X

Faculty

Wydział Inżynierii Środowiska i Inżynierii Mechanicznej

Department

Katedra Inżynierii Wodnej i Sanitarnej

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Now showing 1 - 7 of 7

2025
Analysis of the Changes in the Mechanical Properties of Branches of Salix Energy Plants After Shearing
Walczak, Natalia
Walczak, Zbigniew
11 11
2023
Application of Physical and Numerical Modeling for Determination of Waterway Safety under the Bridge in Kaunas City, Lithuania
Dysarz, Tomasz
Kałuża, Tomasz
Mickevičius, Karolis
Veigneris, Jonas
Zawadzki, Paweł
Kujawiak, Sebastian
Zaborowski, Stanisław
Wicher-Dysarz, Joanna
Walczak, Natalia
Nieć, Jakub
Baublys, Raimundas
3 3
2024
The Influence of Fibers from Domestic Laundry Wastewater on the Clogging Process of a Filter
Nieć, Jakub
Walczak, Natalia
Spychała, Marcin
Walczak, Zbigniew
14 14
2025
Assessing the feasibility of using Machine learning algorithms to determine reservoir water quality based on a reduced set of predictors
Walczak, Natalia
Walczak, Zbigniew
8 8
2023
Analysis of the Influence of Hydraulic and Hydrological Factors on the Operating Conditions of a Small Hydropower Station on the Example of the Stary Młyn Barrage on the Głomia River in Poland
Hammerling, Mateusz
Walczak, Natalia
Kałuża, Tomasz
5 5
2024
Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study
Walczak, Natalia
Walczak, Zbigniew
Laks, Ireneusz
9 9
2023
Fuzzy analytical hierarchy process methods in changing the damming level of a small hydropower plant: Case study of Rosko SHP in Poland
Laks, Ireneusz
Walczak, Zbigniew
Walczak, Natalia
4 4

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Analysis of the Changes in the Mechanical Properties of Branches of Salix Energy Plants After Shearing

Application of Physical and Numerical Modeling for Determination of Waterway Safety under the Bridge in Kaunas City, Lithuania

The Influence of Fibers from Domestic Laundry Wastewater on the Clogging Process of a Filter

Assessing the feasibility of using Machine learning algorithms to determine reservoir water quality based on a reduced set of predictors

Analysis of the Influence of Hydraulic and Hydrological Factors on the Operating Conditions of a Small Hydropower Station on the Example of the Stary Młyn Barrage on the Głomia River in Poland

Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study

Fuzzy analytical hierarchy process methods in changing the damming level of a small hydropower plant: Case study of Rosko SHP in Poland