Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks

Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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DOI
Autor*in
Vaquet, ValerieUniBi ; Hinder, FabianUniBi; Artelt, AndréUniBi ; Ashraf, Inaam; Strotherm, JanineUniBi ; Vaquet, JonasUniBi; Brinkrolf, JohannesUniBi ; Hammer, BarbaraUniBi
Herausgeber*in
Wand, Michael; Malinovská, Kristína; Schmidhuber, Jürgen; Tetko, Igor V.
Einrichtung
Technische Fakultät > AG Machine Learning
Projekt
Water-Futures - Smart Water Futures: designing the next generation of urban drinking water systems
Erscheinungsjahr
2024
Buchtitel
Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX
Serientitel
Lecture Notes in Computer Science
Seite(n)
155-170
ISBN
978-3-031-72355-1
eISBN
978-3-031-72356-8
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2993739

Zitieren

Vaquet V, Hinder F, Artelt A, et al. Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. In: Wand M, Malinovská K, Schmidhuber J, Tetko IV, eds. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2024: 155-170.
Vaquet, V., Hinder, F., Artelt, A., Ashraf, I., Strotherm, J., Vaquet, J., Brinkrolf, J., et al. (2024). Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. In M. Wand, K. Malinovská, J. Schmidhuber, & I. V. Tetko (Eds.), Lecture Notes in Computer Science. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX (pp. 155-170). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72356-8_11
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, and Hammer, Barbara. 2024. “Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks”. In Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX, ed. Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 155-170. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
Vaquet, V., Hinder, F., Artelt, A., Ashraf, I., Strotherm, J., Vaquet, J., Brinkrolf, J., and Hammer, B. (2024). “Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks” in Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX, Wand, M., Malinovská, K., Schmidhuber, J., and Tetko, I. V. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 155-170.
Vaquet, V., et al., 2024. Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. In M. Wand, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 155-170.
V. Vaquet, et al., “Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks”, Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX, M. Wand, et al., eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2024, pp.155-170.
Vaquet, V., Hinder, F., Artelt, A., Ashraf, I., Strotherm, J., Vaquet, J., Brinkrolf, J., Hammer, B.: Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. In: Wand, M., Malinovská, K., Schmidhuber, J., and Tetko, I.V. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science. p. 155-170. Springer Nature Switzerland, Cham (2024).
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, and Hammer, Barbara. “Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks”. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Ed. Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko. Cham: Springer Nature Switzerland, 2024. Lecture Notes in Computer Science. 155-170.
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