Work

Unsupervised Anomaly Detection in Urban Water Networks U sing a Hierarchical Deep Learning Model

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla61862.2024.00031

Authors: Guillem Escriba, David Pérez, Nicolás Vila, Daniel Marín, Miquel Oliver

Institution: Universitat Pompeu Fabra

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408146141

FWCI: 6.724

Cites: 20

Cited by: 4

Related to: 10