Activity

2023

• PREDICTION MODELING OF ARSENIC CONTAMINATION IN GROUNDWATER USING MACHINE LEARNING AND GEOSPATIAL TECHNIQUES IN THE MOST AFFECTED DISTRICTS IN BANGLADESH
  T65 Arsenic, Fluoride, and Other Geogenic Contaminants in Groundwater: Advances in Application of Data Science, Machine Learning for Risk Assessment and Monitoring for Sustainable Mitigation of Associated Health Hazards
  Sunday, 15 October 2023

  1:30 PM - 5:30 PM

  319