Machine learning for anomaly detection in combined sewer systems

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

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Original language	English
Title of host publication	15th DWF Water Research Conference - Technical abstracts
Publisher	Danish Water Forum
Publication date	2021
Pages	39-39
Publication status	Published - 2021
Event	15th Annual Water Research Conference: Danish Water Forum - Online Duration: 2 Feb 2021 → 2 Feb 2021 Conference number: 15

Conference	15th Annual Water Research Conference
Number	15
Location	Online
Period	02/02/2021 → 02/02/2021

Access to Document

@inbook{65f9a9585dac43be817520614520e923,

title = "Machine learning for anomaly detection in combined sewer systems",

author = "Rocco Palmitessa and Annette Brink-Kj{\ae}r and Clemmensen, \{Line Katrine Harder\} and Morten Borup and Mikkelsen, \{Peter Steen\}",

year = "2021",

language = "English",

pages = "39--39",

booktitle = "15th DWF Water Research Conference - Technical abstracts",

publisher = "Danish Water Forum",

note = "15th Annual Water Research Conference : Danish Water Forum, DWF 2021 ; Conference date: 02-02-2021 Through 02-02-2021",

}

Machine learning for anomaly detection in combined sewer systems. / Palmitessa, Rocco; Brink-Kjær, Annette ; Clemmensen, Line Katrine Harder et al.
15th DWF Water Research Conference - Technical abstracts. Danish Water Forum, 2021. p. 39-39.

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

TY - ABST

T1 - Machine learning for anomaly detection in combined sewer systems

AU - Palmitessa, Rocco

AU - Brink-Kjær, Annette

AU - Clemmensen, Line Katrine Harder

AU - Borup, Morten

AU - Mikkelsen, Peter Steen

N1 - Conference code: 15

PY - 2021

Y1 - 2021

M3 - Conference abstract in proceedings

SP - 39

EP - 39

BT - 15th DWF Water Research Conference - Technical abstracts

PB - Danish Water Forum

T2 - 15th Annual Water Research Conference

Y2 - 2 February 2021 through 2 February 2021

ER -