A Comparison of Fully-Linear Deep Learning Methods for Pipe Burst Localization in Water Distribution Networks
Author:
Affiliation:
1. University of the Western Cape,Bellville,Cape Town,South Africa,7535
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10187719/10187748/10187768.pdf?arnumber=10187768
Reference20 articles.
1. Deep learning identifies accurate burst locations in water distribution networks
2. Densely Connected Convolutional Networks
3. Water Distribution Reliability: Simulation Methods
4. An Accurate Leakage Localization Method for Water Supply Network Based on Deep Learning Network
5. ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
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1. Burst Diagnosis Multi-Stage Model for Water Distribution Networks Based on Deep Learning Algorithms;Water;2024-04-28
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