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Spurenstoffelimination bei stark verdünnter Abwassermatrix – Erfahrungen, Kenntnisstand und Herausforderungen
Böhler, M. A., Carl, F., Zhu, M., McArdell, C. S., Frömelt, A., & Joss, A. (2023). Spurenstoffelimination bei stark verdünnter Abwassermatrix – Erfahrungen, Kenntnisstand und Herausforderungen. In M. Wessling & T. Wintgens (Eds.), 15. Aachener Tagung Wassertechnologie. Verfahren der Abwasserbehandlung und Wasseraufbereitung (pp. 14-23). RWTH Aachen University.
A theoretical analysis of the learning dynamics under class imbalance
Francazi, E., Baity-Jesi, M., & Lucchi, A. (2023). A theoretical analysis of the learning dynamics under class imbalance. In A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, & J. Scarlett (Eds.), Proceedings of machine learning research: Vol. 202. Proceedings of the 40th international conference on machine learning (pp. 10285-10322). PMLR.
Why do energy projects fail? Understanding how controversy impacts construction projects
LaPatin, M., Spearing, L. A., Tiedmann, H. R., Kavvada, O., Giorda, M., Daniélou, J., … Faust, K. M. (2023). Why do energy projects fail? Understanding how controversy impacts construction projects. In S. Walbridge, M. Nik-Bakht, K. Tsun Wai Ng, M. Shome, M. Sharia Alam, A. el Damatty, & G. Lovegrove (Eds.), Lecture notes in civil engineering: Vol. 251. Proceedings of the Canadian Society of Civil Engineering annual conference 2021 (pp. 487-498). https://doi.org/10.1007/978-981-19-1029-6_37
Chatreport: democratizing sustainability disclosure analysis through LLM-based tools
Ni, J., Bingler, J., Colesanti-Senni, C., Kraus, M., Gostlow, G., Schimanski, T., … Leippold, M. (2023). Chatreport: democratizing sustainability disclosure analysis through LLM-based tools. In Y. Feng & E. Lefever (Eds.), EMNLP 2023. Conference on empirical methods in natural language processing (pp. 21-51). Association for Computational Linguistics (ACL).
Modeling node exposure for community detection in networks
Othman, S., Schulz, J., Baity-Jesi, M., & De Bacco, C. (2023). Modeling node exposure for community detection in networks. In H. Cherifi, R. N. Mantegna, L. M. Rocha, C. Cherifi, & S. Micciche (Eds.), Studies in computational intelligence: Vol. 1078. Complex networks and their applications XI. Proceedings of the eleventh international conference on complex networks and their applications: complex networks 2022 - volume 2 (pp. 233-244). https://doi.org/10.1007/978-3-031-21131-7_18
Second-generation global risk map of groundwater arsenic contamination
Podgorski, J., & Berg, M. (2023). Second-generation global risk map of groundwater arsenic contamination. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 3-4). https://doi.org/10.1201/9781003317395-1
Intelligent multispectral vision system for non-contact water quality monitoring for wastewater
Preitner, K., Blanc, S., Honzatko, D., Kündig, C., Pad, P., Saeedi, S., … Dunbar, L. A. (2023). Intelligent multispectral vision system for non-contact water quality monitoring for wastewater. In B. Jalali & Kichi Kitayama (Eds.), Proceedings of SPIE: Vol. 12438. AI and optical data sciences IV (p. 124380V (13 pp.). https://doi.org/10.1117/12.2649921
Bewirtschaftung von Wasserressourcen und Landwirtschaft
Stamm, C. (2023). Bewirtschaftung von Wasserressourcen und Landwirtschaft. In R. Norer (Ed.), Schriften zum Recht des Ländlichen Raums. Landwirtschaft, Ernährung, Raum, Umwelt: Vol. 16. Landwirtschaft und Wasser. Gewässerreinhaltung, Hochwasserschutz und Bewässerung in rechtlicher Perspektive. Tagungsband der 7. Luzerner Agrarrechtstage (pp. 1-9). DIKE.
Interplay of As (im)mobilisation processes in groundwater: learning from hydrochemical investigations
Stopelli, E., Duyen, V. T., Mai, T. T., Trang, P. T. K., Viet, P. H., Lightfoot, A., … Berg, M. (2023). Interplay of As (im)mobilisation processes in groundwater: learning from hydrochemical investigations. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 21-22). https://doi.org/10.1201/9781003317395-9
Risiken und Effekte von Mikroschadstoffen auf aquatische Organismen
Werner, I. (2023). Risiken und Effekte von Mikroschadstoffen auf aquatische Organismen. In Bayerische Akademie der Wissenschaften (Ed.), Rundgespräche Forum Ökologie: Vol. 49. Gefährdung und Schutz von Oberflächengewässern (pp. 43-56). Verlag Dr. Friedrich Pfeil.
Pseudo contour maps from logistic regression modelling: case study of groundwater arsenic distribution in Gujarat state, India
Wu, R., Podgorski, J., Berg, M., & Polya, D. A. (2023). Pseudo contour maps from logistic regression modelling: case study of groundwater arsenic distribution in Gujarat state, India. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 95-96). https://doi.org/10.1201/9781003317395-40
Fish swimming behavior and bypass acceptance at curved-bar rack bypass systems
Beck, C., Albayrak, I., Meister, J., Peter, A., Selz, O. M., Leuch, C., … Boes, R. M. (2022). Fish swimming behavior and bypass acceptance at curved-bar rack bypass systems. In Proceedings of the IAHR World Congress. Proceedings of the 39th IAHR world congress (Granada, 2022) (pp. 1246-1255). https://doi.org/10.3929/ethz-b-000560944
"RICHIE" - the virtual sewer worker for improved monitoring data quality, network maintenance and operation
Disch, A., Brupbacher, A., Lükewille, F., Manz, C., Kramer, S., Dürrenmatt, D., & Rieckermann, J. (2022). "RICHIE" - the virtual sewer worker for improved monitoring data quality, network maintenance and operation (p. (4 pp.). Presented at the 12th urban drainage modeling conference.
A decision support system to predict acute fish toxicity
Madsen, A. L., Moe, S. J., Braunbeck, T., Connors, K. A., Embry, M., Schirmer, K., … Lillicrap, A. (2022). A decision support system to predict acute fish toxicity. In A. Salmerón & R. Rumí (Eds.), Proceedings of PGM 2022: Vol. 186. 11th international conference on probabilistic graphical models, PGM 2022 (pp. 253-264). ML research press.
Energy self-sufficient systems for monitoring sewer networks
Mathis, S., Gruber, J. M., Ebi, C., Bloem, S., Rieckermann, J., & Blumensaat, F. (2022). Energy self-sufficient systems for monitoring sewer networks. In ITG-Fachberichte: Vol. 303. Sensoren und Messsysteme. Beiträge der 21. ITG/GMA-Fachtagung (pp. 523-530). VDE.
Development of low-voltage electrified fish guidance racks for safe downstream fish migration
Moldenhauer-Roth, A., Selz, O. M., Albayrak, I., Unterberger, F., & Boes, R. M. (2022). Development of low-voltage electrified fish guidance racks for safe downstream fish migration. In M. Ortega-Sánchez (Ed.), IAHR world congress: Vol. 2022. Proceedings of the 39th IAHR world congress (pp. 1256-1265). https://doi.org/10.3850/IAHR-39WC25217119202292
Entwicklung der biologischen Abwasserreinigung: Belebtschlamm vs Biofilmsysteme
Morgenroth, E., & Derlon, N. (2022). Entwicklung der biologischen Abwasserreinigung: Belebtschlamm vs Biofilmsysteme. In T. Wintgens & J. Pinnekamp (Eds.), Gewässerschutz, Wasser, Abwasser. 55. Essener Tagung für Wasserwirtschaft. Wasserwirtschaft im Klimawandel (p. 31 (12 pp.). Gesellschaft zur Förderung des Instituts für Siedlungswasserwirtschaft an der RWTH Aachen.
Monitoring sewer sediment deposits with temperature sensors
Regueiro-Picallo, M., Anta, J., Naves, A., & Rieckermann, J. (2022). Monitoring sewer sediment deposits with temperature sensors. In Proceedings of the IAHR world congress. IAHR world congress (pp. 1852-1857). https://doi.org/10.3850/IAHR-39WC2521711920221141
Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
Rizzo, R., Dziadosz, M., Kyathanahally, S. P., Reyes, M., & Kreis, R. (2022). Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Lecture notes in computer science: Vol. 13438. Medical image computing and computer assisted intervention - MICCAI 2022. 25th international conference, Singapore, September 18-22, 2022, proceedings, part VIII (pp. 715-724). https://doi.org/10.1007/978-3-031-16452-1_68
Convective regimes induced by surface cooling and topography in stratified waterbodies
Ulloa, H. N., Ramón, C. L., Doda, T., & Bouffard, D. (2022). Convective regimes induced by surface cooling and topography in stratified waterbodies. In Proceedings of the IAHR world congress. Proceedings of the 39th IAHR world congress (pp. 5648-5655). https://doi.org/10.3850/IAHR-39WC2521716X20221552
 

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