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Explainable artificial intelligence for reliable water demand forecasting to increase trust in predictions.
Water Res. 2025 Jan 1;268(Pt B):122779. doi: 10.1016/j.watres.2024.122779. Epub 2024 Nov 9.
Water Res. 2025.
PMID: 39546974
Free article.
Graph method for critical pipe analysis of branched and looped drainage networks.
Dastgir A, Hesarkazzazi S, Oberascher M, Hajibabaei M, Sitzenfrei R.
Dastgir A, et al. Among authors: oberascher m.
Water Sci Technol. 2023 Jan;87(1):157-173. doi: 10.2166/wst.2022.413.
Water Sci Technol. 2023.
PMID: 36640030
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Smart water campus - a testbed for smart water applications.
Oberascher M, Kinzel C, Kastlunger U, Schöpf M, Grimm K, Plaiasu D, Rauch W, Sitzenfrei R.
Oberascher M, et al.
Water Sci Technol. 2022 Dec;86(11):2834-2847. doi: 10.2166/wst.2022.369.
Water Sci Technol. 2022.
PMID: 36515192
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Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies.
Oberascher M, Rauch W, Sitzenfrei R.
Oberascher M, et al.
Water Sci Technol. 2021 Jun;83(11):2678-2690. doi: 10.2166/wst.2021.159.
Water Sci Technol. 2021.
PMID: 34115622
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