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Water Science and Technology : a Journal of the International Association on Water Pollution Research|October 20, 2018
Statistical models to predict discharge overflowBartosz Szeląg, Łukasz Bąk, Roman Suligowski, et al.
Journal of Environmental Management|September 13, 2022
Modeling nutrient removal and energy consumption in an advanced activated sludge system under uncertaintyBartosz Szeląg, Adam Kiczko, Ewa Zaborowska, et al.
Chemosphere|April 30, 2024
Application of a generalized hybrid machine learning model for the prediction of H2S and VOCs removal in a compact trickle bed bioreactor (CTBB)Krzysztof Barbusiński, Bartosz Szeląg, Anita Parzentna-Gabor, et al.
Materials (Basel, Switzerland)|September 26, 2020
Modeling and Optimization of Pollutants Removal during Simultaneous Adsorption onto Activated Carbon with Advanced Oxidation in Aqueous EnvironmentLidia Dąbek, Anna Picheta-Oleś, Bartosz Szeląg, et al.
Sensors (Basel, Switzerland)|January 8, 2023
Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater TreatmentMagdalena Piłat-Rożek, Ewa Łazuka, Dariusz Majerek, et al.
Sensors (Basel, Switzerland)|October 26, 2021
In Search of a Soil Moisture Content Simulation Model: Mechanistic and Data Mining Approach Based on TDR Method ResultsAndrzej Brandyk, Bartosz Szeląg, Adam Kiczko, et al.
Journal of Environmental Management|July 16, 2026
Interpretable machine learning prediction and multi-objective optimization of chiral lactic acid production from organic waste fermentationBartosz Szeląg, Yuan Li, Wenjuan Zhang, et al.
Annals of Agricultural and Environmental Medicine : AAEM|September 29, 2023
A simplified method for determining potential heavy metal leached from sediments of stormwater and combined sewer systems - importance for public healthSylwia Duda-Saternus, Justyna Kujawska, Edyta Wojtaś, et al.
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