FORECASTING WATER LEAKS IN PIPELINE NETWORKS WITH THE GRAPH CONVOLUTIONAL NETWORK APPROACH
DOI:
https://doi.org/10.30890/2709-2313.2024-32-00-007Keywords:
graph convolutional network, graph machine learning, leakage detectionAbstract
This study aims to predict leaks in water-carrying pipelines by monitoring pressure drops. Timely detection of leaks is crucial for prompt intervention and repair efforts. In this research, we represent the network structure of pipelines using graph repreMetrics
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