Work

Unsupervised Anomaly Detection in Water Distribution Networks Using One-Class SVM

Year: 2025

Type: conference-paper

Source: International Conference on Advances in Computational Tools for Engineering Applications

DOI: 10.1109/actea66485.2025.11189906

Authors: Christine Saab, Gérard-Philippe Zéhil

Institution: Notre Dame University – Louaize

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4415124865

FWCI: 1.059

Cites: 10

Cited by: 1

Related to: