Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective

Author:

Wu YipengORCID,Ma Xingke,Guo Guancheng,Jia TianlongORCID,Huang Yujun,Liu ShumingORCID,Fan Jingjing,Wu Xue

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. A method for pipeline leak detection based on acoustic imaging and deep learning;Ahmad;Sensors,2022

2. A systemic comparison between using augmented data and synthetic data as means of enhancing wafermap defect classification;Alqudah;Comput. Ind.,2023

3. Review of water leak detection and localization methods through hydrophone technology;Bakhtawar;J. Pipel. Syst. Eng. Pract.,2021

4. Development of a new comprehensive framework for the evaluation of leak management components and practices;Bozkurt;AQUA,2022

5. Chollet, F., 2023. Complete guide to transfer learning & fine-tuning in Keras.

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