Ludovica Palma, Fatemeh Hatam, Paula Catalina Ortiz Blanco and Michèle Prévost
Paper (2025)
An external link is available for this item| Department: | Department of Civil, Geological and Mining Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/68441/ |
| Conference Title: | 22nd health-related water microbiology conference (Water Micro 2025) |
| Conference Location: | Amersfoort, Netherlands |
| Conference Date(s): | 2025-06-15 - 2025-06-20 |
| Official URL: | https://air.unimi.it/bitstream/2434/1172940/4/Abst... |
| Date Deposited: | 10 Sep 2025 16:05 |
| Last Modified: | 10 Sep 2025 16:05 |
| Cite in APA 7: | Palma, L., Hatam, F., Ortiz Blanco, P. C., & Prévost, M. (2025, June). Machine Learning Model to Predict the Impact of Rising Temperatures on Opportunistic Pathogens Presence and Chlorine Demand [Paper]. 22nd health-related water microbiology conference (Water Micro 2025), Amersfoort, Netherlands. https://air.unimi.it/bitstream/2434/1172940/4/Abstract%20Book_Oral-presentation%20%282%29.pdf#page=23 |
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