A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends

This publication has 120 references indexed in Scilit:

• Spatial Distribution and Health Risk Assessment of Groundwater Pollution in Kotlakhpat Industrial Complex, Lahore
  Water, Air, & Soil Pollution, 2024
• Water quality prediction using machine learning models based on grid search method
  Multimedia Tools and Applications, 2023
• An efficient IoT based smart water quality monitoring system
  Multimedia Tools and Applications, 2023
• Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
  Clean Technologies and Environmental Policy, 2023
• Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
  Environmental Monitoring and Assessment, 2023
• Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach
  Environmental Science and Pollution Research, 2023
• Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms
  Environmental Science and Pollution Research, 2022
• LoRa-based Network for Water Quality Monitoring in Coastal Areas
  Mobile Networks and Applications, 2022
• Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
  Hydrological Processes, 2022
• WaterS: A Sigfox‐compliant prototype for water monitoring
  Internet Technology Letters, 2018