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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.
Palma, L., Creaco, E., Iervolino, M., Marocco, D., Francesco Santonastaso, G., & Di Nardo, A. (2025). Could ChatGPT Automate Water Network Clustering? A Performance Assessment Across Algorithms. Water, 17(20), 2995. External link
Palma, L., Hatam, F., Di Nardo, A., & Prévost, M. (2025). Design of Monitoring Systems for Contaminant Detection in Water Networks Under Pipe Break-Induced Events. Sensors, 25(17), 5320 (19 pages). External link
Palma, L., Creaco, E., Iervolino, M., Leopardi, A., Santonastaso, G. F., & Di Nardo, A. (2025, May). SWANP: A Comprehensive Tool for Optimized Water Network Clustering [Paper]. World Environmental and Water Resources Congress 2025, Anchorage, Alaska. External link
Prévost, M., Ortiz Blanco, P. C., Palma, L., & Hatam, F. (2025, June). Do Heat Islands Impact Microbial Quality? A Montreal Case Study [Paper]. 22nd health-related water microbiology conference (Water Micro 2025), Amersfoort, Netherlands. External link
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. External link
Palma, L., Nardo, A. D., Hatam, F., Santonastaso, G. F., & Prévost, M. (2024, July). Investigating the Efficacy of Topological Methods for Optimal Sensor Placement in Water Distribution Systems [Paper]. 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Ferrara, Italy. Published in Engineering Proceedings, 69(1). Available
Palma, L., Hatam, F., Nardo, A. D., & Prévost, M. (2024). Contaminations in water distribution systems : a critical review of detection and response methods. AQUA, 73(6), 1285-1302. External link
