{"type":"ScholarlyArticle","title":"A Resilient Solution for Sewer Overflow Monitoring Across Cloud and Edge","authors":[{"name":"Vipin Singh","slug":"vipin-singh","given":"Vipin","family":"Singh","affiliation":""},{"name":"Tianheng Ling","slug":"tianheng-ling","given":"Tianheng","family":"Ling","affiliation":""},{"name":"Peter Ghaly","slug":"peter-ghaly","given":"Peter","family":"Ghaly","affiliation":""},{"name":"Felix Grimmeisen","slug":"felix-grimmeisen","given":"Felix","family":"Grimmeisen","affiliation":""},{"name":"Gregor Schiele","slug":"gregor-schiele","given":"Gregor","family":"Schiele","affiliation":""},{"name":"Felix Biessmann","slug":"felix-biessmann","given":"Felix","family":"Biessmann","affiliation":""}],"abstract":"Aging combined sewer systems in many historical cities are increasingly stressed by extreme rainfall events, which can trigger combined sewer overflows (CSO) with significant environmental and public health impacts. Forecasting the filling dynamics of overflow basins is critical for anticipating capacity exceedance and enabling timely preventive actions for CSO. We present a web-based demonstrator that integrates Deep Learning forecasting methods in both cloud and edge settings into an interactive monitoring dashboard for overflow monitoring, resilient to network outages.","doi":"10.24963/ijcai.2026/994","url":"https://ijcai.org/proceedings/2026/994","pdf":"https://ijcai.org/proceedings/2026/0994.pdf","markdown":"https://ijcai.org/proceedings/2026/994.md","bibtex":"https://ijcai.org/proceedings/2026/bibtex/994","volume":{"slug":"2026","title":"Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2026","url":"https://ijcai.org/proceedings/2026/","year":2026,"location":"Bremen, Germany","dates":"15-21 August 2026","editors":"Diego Calvanese","isbn":"978-1-956792-09-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2026"},"section":"Demo Track","track":"Demo Track","number":994,"pages":{"first":8522,"last":8525},"keywords":["AI: Planning and Scheduling","AI: Humans and AI","AI: Multidisciplinary Topics and Applications","AI: AI Ethics, Trust, Fairnes"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}