Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors.
Xudong FanXiaowei WangXijin ZhangXiong (Bill) YuPublished in: Reliab. Eng. Syst. Saf. (2022)
Keyphrases
- socio economic
- failure prediction
- machine learning
- water supply
- civil engineering
- computer science
- artificial intelligence
- south african
- knowledge acquisition
- statistical methods
- engineering design
- data mining
- software engineering
- engineering problems
- climate change
- knowledge discovery
- infectious disease
- knowledge based systems
- image registration
- tool wear