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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Sanchez-Quete, F., Chiang, L., Sequeira, F. C., Goitom, E., Tsitouras, A., Maere, T., Vanrolleghem, P. A., Dorner, S., Frigon, D., & Loeb, S. K. (2024). Suspended Solids and Optimal RNase Inhibitors Impact the Partitioning and Decay of SARS-CoV-2 in Wastewater. ACS ES&T Water, -. External link
Jayme, G., Liu, J.-L., Gálvez, J. H., Reiling, S. J., Celikkol-Aydin, S., N’Guessan, A., Lee, S., Chen, S.-H., Tsitouras, A., Sánchez-Quete, F., Maere, T., Goitom, E., Hachad, M., Mercier, É., Loeb, S. K., Vanrolleghem, P. A., Dorner, S., Delatolla, R., Shapiro, B. J., ... Snutch, T. P. (2024). Combining Short- and Long-Read Sequencing Technologies to Identify SARS-CoV-2 Variants in Wastewater. Viruses, 16(9), 1495 (15 pages). Available
Dehghani Tafti, A. R., Houweling, D., Perron, J.-M., Bencsik, D., Johnson, T., Vanrolleghem, P. A., & Comeau, Y. (2024). Towards a modelling framework for nature-based solutions in wastewater treatment. Water Science and Technology, 2024235 (19 pages). External link
Bousquet, M., Kuller, M., Lacroix, S., & Vanrolleghem, P. A. (2023). A critical review of MCDA practices in planning of urban green spaces and NBS. Blue-green systems, 5(2), 200-219. Available
Dehghani Tafti, A. R., Mortier, C., Boulanger, C., Vanrolleghem, P. A., & Comeau, Y. (2022, November). Aerated lagoons sludge characteristics, distribution and accumulation rate [Paper]. 36e Symposium de l'Est du Canada sur la recherche sur la qualité de l'eau, Québec, Québec (3 pages). Available
Therrien, J.-D., Maere, T., Sánchez-Quete, F., Tsitouras, A., Goitom, E., Cloutier, F., Dufour, D., Proulx, F., Nicolaï, N., Philippe, R., Tohidi, M., Dorner, S., Frigon, D., & Vanrolleghem, P. A. (2021). SARS-CoV-2 wastewater surveillance data and metadata in the Open Data Model format. Part 1: Québec City [Dataset]. External link
Corominas, L. L., Rieger, L., Takacs, I., Ekama, G., Hauduc, H., Vanrolleghem, P. A., Oehmen, A., Gernaey, K. V., Van Loosdrecht, M. C. M., & Comeau, Y. (2010). New framework for standardized notation in wastewater treatment modelling. Water Science and Technology, 61(4), 841-857. Available
Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data Reconciliation for Wastewater Treatment Plant Simulation Studies-Planning for High-Quality Data and Typical Sources of Errors. Water Environment Research, 82(5), 426-433. External link
Gernaey, K., Petersen, B., Nopens, I., Comeau, Y., & Vanrolleghem, P. A. (2002). Modeling Aerobic Carbon Source Degradation Processes Using Titrimetric Data and Combined Respirometric-Titrimetric Data: Experimental Data and Model Structure. Biotechnology and Bioengineering, 79(7), 741-753. External link
Gernaey, K., Petersen, B., Dochain, D., & Vanrolleghem, P. A. (2002). Modeling Aerobic Carbon Source Degradation Processes Using Titrimetric Data and Combined Respirometric-Titrimetric Data: Structural and Practical Identifiability. Biotechnology and Bioengineering, 79(7), 754-767. External link
Dochain, D., & Perrier, M. (1998). Monitoring and adaptive control of bioprocesses. In Van Impe, J. F., Vanrolleghem, P. A., & Iserentant, D. M. (eds.), Advanced instrumentation, Data interpretation and control of biotechnological processes (pp. 347-400). External link
