Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Magdalena Piłat-Rożek"'
Autor:
Jakub Drewnowski, Bartosz Szeląg, Fabrizio Sabba, Magdalena Piłat-Rożek, Adam Piotrowicz, Grzegorz Łagód
Publikováno v:
Journal of Ecological Engineering, Vol 24, Iss 12, Pp 208-222 (2023)
The wastewater treatment landscape in Central Europe, particularly in Poland, has undergone a profound transformation due to European Union (EU) integration. Fueled by EU funding and rapid technological advancements, wastewater treatment plants (WWTP
Externí odkaz:
https://doaj.org/article/af2960e7572641989f88fab7dc5167c9
Publikováno v:
Journal of Ecological Engineering, Vol 24, Iss 9, Pp 139-147 (2023)
One of the important ways to prevent permanent environmental pollution is to constantly monitor its quality, which can be performed in several ways. The present bioindication study analyzed the level of diversity and abundance of biofilm microorganis
Externí odkaz:
https://doaj.org/article/f70344b0f8a84f9c96c572dbf27d2529
Autor:
Piotr Kosiński, Bartosz Kask, Małgorzata Franus, Magdalena Piłat-Rożek, Joanna Szulżyk-Cieplak, Grzegorz Łagód
Publikováno v:
Advances in Sciences and Technology, Vol 17, Iss 2, Pp 161-172 (2023)
The storage and disposal of sewage sludge from municipal wastewater treatment plants is becoming an increasing problem on a global scale. The attention of scientists is directed to the search for unique technologies to manage them. Firing sewage slud
Externí odkaz:
https://doaj.org/article/11f99531f3424b4fa8d855336610200c
Autor:
Magdalena Piłat-Rożek, Marcin Dziadosz, Dariusz Majerek, Katarzyna Jaromin-Gleń, Bartosz Szeląg, Łukasz Guz, Adam Piotrowicz, Grzegorz Łagód
Publikováno v:
Sensors, Vol 23, Iss 20, p 8578 (2023)
Currently, e-noses are used for measuring odorous compounds at wastewater treatment plants. These devices mimic the mammalian olfactory sense, comprising an array of multiple non-specific gas sensors. An array of sensors creates a unique set of signa
Externí odkaz:
https://doaj.org/article/ce2a3738e4a240f984e6252369d5fb34
Autor:
Grzegorz Łagód, Magdalena Piłat-Rożek, Dariusz Majerek, Ewa Łazuka, Zbigniew Suchorab, Łukasz Guz, Václav Kočí, Robert Černý
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8588 (2023)
Paper is in the scope of moisture-related problems which are connected with mold threat in buildings, sick building syndrome (SBS) as well as application of electronic nose for evaluation of different building envelopes and building materials. The ma
Externí odkaz:
https://doaj.org/article/f17372e89a5549ee9c3a4eafdaf5349b
Autor:
Ali Khorramifar, Hamed Karami, Larisa Lvova, Alireza Kolouri, Ewa Łazuka, Magdalena Piłat-Rożek, Grzegorz Łagód, Jose Ramos, Jesús Lozano, Mohammad Kaveh, Yousef Darvishi
Publikováno v:
Sensors, Vol 23, Iss 12, p 5716 (2023)
Nowadays, the electronic nose (e-nose) has gained a huge amount of attention due to its ability to detect and differentiate mixtures of various gases and odors using a limited number of sensors. Its applications in the environmental fields include an
Externí odkaz:
https://doaj.org/article/c348c64fc8454de2bb7bc54451faed66
Autor:
Magdalena Piłat-Rożek, Ewa Łazuka, Dariusz Majerek, Bartosz Szeląg, Sylwia Duda-Saternus, Grzegorz Łagód
Publikováno v:
Sensors, Vol 23, Iss 1, p 487 (2023)
The work represents a successful attempt to combine a gas sensors array with instrumentation (hardware), and machine learning methods as the basis for creating numerical codes (software), together constituting an electronic nose, to correct the class
Externí odkaz:
https://doaj.org/article/511819960ff9457a86c85365e768b514
Autor:
Bartosz Szeląg, Dariusz Majerek, Ewa Łazuka, Magdalena Piłat-Rożek, Grzegorz Łagód, Sylwia Duda-Saternus
Publikováno v:
Sensors; Volume 23; Issue 1; Pages: 487
The work represents a successful attempt to combine a gas sensors array with instrumentation (hardware), and machine learning methods as the basis for creating numerical codes (software), together constituting an electronic nose, to correct the class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d846dd4e0da1a79d5d889dc9c1066881
https://pubmed.ncbi.nlm.nih.gov/36617095
https://pubmed.ncbi.nlm.nih.gov/36617095