Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in Turbid Waters: A Case Study of the Pearl River Estuary and Coast Using Machine Learning.
Jiaxin LiuZhongfeng QiuJiajun FengKapo WongJin Yeu TsouYu WangYuanzhi ZhangPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- water quality
- environmental monitoring
- monitoring system
- pattern recognition
- case study
- machine learning methods
- natural language processing
- real time
- machine learning approaches
- learning algorithm
- correlation coefficient
- machine learning algorithms
- learning systems
- united states
- computational intelligence
- neural network
- supervised learning
- belief revision
- measured data
- transfer learning
- learning tasks
- learning problems
- semi supervised learning
- computer science
- reinforcement learning
- decision making
- data mining
- decision support
- information extraction
- wireless sensor networks
- active learning
- expert systems
- satellite images
- early warning
- artificial intelligence
- genetic algorithm
- supervised machine learning
- spectral data
- intensive care