Graph neural network-based anomaly detection for river network systems [version 2; peer review: 1 approved, 2 approved with reservations]

Background Water is the lifeblood of river networks, and its quality plays a crucial role in sustaining both aquatic ecosystems and human societies. Real-time monitoring of water quality is increasingly reliant on in-situ sensor technology. Anomaly detection is crucial for identifying erroneous patt...

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Detaylı Bibliyografya
Asıl Yazarlar:	Kerrie Mengersen, Robert Salomone, Katie Buchhorn, Edgar Santos-Fernandez
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	F1000 Research Ltd 2024-03-01
Seri Bilgileri:	F1000Research
Konular:	Anomaly Detection Graph Deviation Network Graph Neural Network Multivariate Time Series Graph Attention Forecasting Spatio-temporal Data eng
Online Erişim:	https://f1000research.com/articles/12-991/v2
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Graph neural network-based anomaly detection for river network systems [version 2; peer review: 1 approved, 2 approved with reservations]

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