Deep learning-assisted automated sewage pipe defect detection for urban water environment management-Reference-Cited by-同舟云学术

Deep learning-assisted automated sewage pipe defect detection for urban water environment management

Published:2023-07 Issue: Volume:882 Page:163562
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Sun Lianpeng,Zhu Jinjun,Tan Jinxin,Li Xianfeng,Li Ruohong,Deng Huanzhong,Zhang Xinyang,Liu Bingyou,Zhu Xinzhe

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference96 articles.

1. Solving visual pollution with deep learning: a new nexus in environmental management;Ahmed;J. Environ. Manag.,2019

2. A risk-based approach to sanitary sewer pipe asset management;Baah;Sci. Total Environ.,2015

3. Improving pipe failure predictions: factors affecting pipe failure in drinking water networks;Barton;Water Res.,2019

4. Integrating multisensor satellite data merging and image reconstruction in support of machine learning for better water quality management;Chang;J. Environ. Manag.,2017

5. An Intelligent Sewer Defect Detection Method Based on Convolutional Neural Network. IEEE International Conference on Information and Automation (ICIA);Chen,2018

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging deep learning techniques for condition assessment of stormwater pipe network;Journal of Civil Structural Health Monitoring;2024-08-17

2. Detection of Pipeline Leaks Using Fractal Analysis of Acoustic Signals;Fractal and Fractional;2024-04-05

3. Deep learning in water protection of resources, environment, and ecology: achievement and challenges;Environmental Science and Pollution Research;2024-02-02

4. Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation;Structural Control and Health Monitoring;2024-01

5. A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics;Cambridge Prisms: Water;2024