ПРОГНОЗУВАННЯ ВИТОКУ ВОДИ В ТРУБОПРОВІДНИХ МЕРЕЖАХ ЗА ДОПОМОГОЮ МЕТОДУ ГРАФІЧНОЇ ЗГОРТКОВОЇ МЕРЕЖІ
DOI:
https://doi.org/10.30890/2709-2313.2024-32-00-007Ключові слова:
graph convolutional network, graph machine learning, leakage detectionАнотація
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
Посилання
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