Sludge Volume Index (SVI) Modelling: Data Mining Approach. - Bartosz Szelag; Jaroslaw Gawdzik; Jan Studzinski (ISAT (3), 2017)

Soft Sensor Application in Identification of the Activated Sludge Bulking Considering the Technological and Economical Aspects of Smart Systems Functioning. - Bartosz Szelag; Jakub Drewnowski; Grzegorz Lagód; Dariusz Majerek; Ewa Dacewicz; Francesco Fatone (Sensors, 2020)

In Search of a Soil Moisture Content Simulation Model: Mechanistic and Data Mining Approach Based on TDR Method Results. - Andrzej Brandyk; Bartosz Szelag; Adam Kiczko; Marcin Krukowski; Adam Koziol; Jerzy Piotrowski; Grzegorz Majewski (Sensors, 2021)

Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study. - Bartosz Szelag; Roman Suligowski; Francesco De Paola; Piotr Siwicki; Dariusz Majerek; Grzegorz Lagód (Environ. Model. Softw., 2022)

Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater Treatment. - Magdalena Pilat-Rozek; Ewa Lazuka; Dariusz Majerek; Bartosz Szelag; Sylwia Duda-Saternus; Grzegorz Lagód (Sensors, 2023)

Rapid Method of Wastewater Classification by Electronic Nose for Performance Evaluation of Bioreactors with Activated Sludge. - Magdalena Pilat-Rozek; Marcin Dziadosz; Dariusz Majerek; Katarzyna Jaromin-Glen; Bartosz Szelag; Lukasz Guz; Adam Piotrowicz; Grzegorz Lagód (Sensors, 2023)