E-LIB Suche - Ergebnisse für: von Borries, Kerstin

1

Two-Stage Machine Learning-Based Approach to Predict Points..:

Kvasnicka, Jacob ; Aurisano, Nicolò ; von Borries, Kerstin...
Environmental Science & Technology. , 2024

2

Potential for Machine Learning to Address Data Gaps in Huma..:

von Borries, Kerstin ; Holmquist, Hanna ; Kosnik, Marissa...
Environmental Science & Technology. 57 (2023) 46 - p. 18259-18270 , 2023

Link: https://doi.org/10.1021/..

3

Modelling the fate of micropollutants in integrated urban w..:

Delli Compagni, Riccardo ; Polesel, Fabio ; von Borries, Kerstin J.F....
Water Research. 184 (2020) - p. 116097 , 2020

Link: https://doi.org/10.1016/..

4

Modelling micropollutant fate in sewer systems – A new syst..:

Delli Compagni, Riccardo ; Polesel, Fabio ; von Borries, Kerstin J.F....
Journal of Environmental Management. 246 (2019) - p. 141-149 , 2019

Link: https://doi.org/10.1016/..

5

Application and testing of risk screening tools for nanomat..:

Grieger, Khara ; Bossa, Nathan ; Levis, James W....
Environmental Science: Nano. 5 (2018) 8 - p. 1844-1858 , 2018

Link: https://doi.org/10.1039/..

6

Potential for Machine Learning to Address Data Gaps in Huma..:

von Borries, Kerstin ; Holmquist, Hanna ; Kosnik, Marissa...
https://www.repository.cam.ac.uk/handle/1810/358840. , 2023

Link: https://www.repository.c..

7

Potential for Machine Learning to Address Data Gaps in Huma..:

von Borries, Kerstin ; Holmquist, Hanna ; Kosnik, Marissa...
https://orbit.dtu.dk/en/publications/75094e5c-2aae-4e3a-835f-5d89f38eae7e. , 2023

Link: https://orbit.dtu.dk/en/..

8

Predicting the fate of pharmaceuticals in integrated urban ..:

Delli Compagni, Riccardo ; Polesel, Fabio ; von Borries, Kerstin J. F...
Delli Compagni , R , Polesel , F , von Borries , K J F , Zhang , Z , Gabrielli , M , Turolla , A , Antonelli , M & Vezzaro , L 2021 , ' Predicting the fate of pharmaceuticals in integrated urban wastewater systems ' , 5th IWA Specialized International Conference , Milan , Italy , 21/06/2021 - 25/06/2021 .. , 2021

Link: https://orbit.dtu.dk/en/..

9

Modelling the fate of micropollutants in integrated urban w..:

Compagni, Riccardo Delli ; Polesel, Fabio ; von Borries, Kerstin J. F...
https://orbit.dtu.dk/en/publications/e9b30828-e1c3-48eb-bc6d-b1cf9bab217c. , 2020

Link: https://orbit.dtu.dk/en/..

10

Modelling micropollutant fate in sewer systems – A new syst..:

Delli Compagni, Riccardo ; Polesel, Fabio ; von Borries, Kerstin J.F...
https://orbit.dtu.dk/en/publications/7a5022e0-9055-4bbd-ba1f-07ff5488dd2c. , 2019

Link: https://orbit.dtu.dk/en/..

11

Conceptual Modeling of Micropollutant Fate in Sewer Systems..:

Delli Compagni, Riccardo ; Polesel, Fabio ; von Borries, Kerstin J. F...
Delli Compagni , R , Polesel , F , von Borries , K J F , Zhang , Z , Turolla , A , Antonelli , M & Vezzaro , L 2018 , Conceptual Modeling of Micropollutant Fate in Sewer Systems. A GIS-Based Approach to Define Model Structure . in G Mannina (ed.) , Proceedings of the 11th International Conference on Urban Drainage Modelling . Palermo, Italy , pp. 1156-1159 , 11th International Conference on Urban Drainage Modelling , Palermo , Italy , 23/09/2018 .. , 2018

Link: https://orbit.dtu.dk/en/..

12

Modelling the fate of organic microcontaminants in wastewat..:

Polesel, Fabio ; Gonzalez Garcia, Mariano ; Delli Compagni, Riccardo...
Polesel , F , Gonzalez Garcia , M , Delli Compagni , R , von Borries , K J F , Zhang , Z , Gabrielli , M , Fernández-López ( , C , Turolla , A , Antonelli , M , Vezzaro , L & Trapp , S 2018 , ' Modelling the fate of organic microcontaminants in wastewater treatment and agricultural reuse – Experiences from two existing cases ' , XENOWAC II , Limassol , Cyprus , 10/10/2018 - 12/10/2018 .. , 2018

Link: https://orbit.dtu.dk/en/..

13

Application and testing of risk screening tools for nanomat..:

Grieger, Khara Deanne ; Bossa, Nathan ; Levis, James W...
https://orbit.dtu.dk/en/publications/df4f8e87-65df-47bc-860f-35f9feab7406. , 2018

Link: https://orbit.dtu.dk/en/..

14

Potential for Machine Learning to Address Data Gaps in Huma..:

Kerstin von Borries ; Hanna Holmquist ; Marissa Kosnik...
doi:10.1021/acs.est.3c05300.s001. , 1753

Link: https://doi.org/10.1021/..

15

Potential for Machine Learning to Address Data Gaps in Huma..:

Kerstin von Borries ; Hanna Holmquist ; Marissa Kosnik...
doi:10.1021/acs.est.3c05300.s002. , 1753

Link: https://doi.org/10.1021/..