Machine Learning Approaches to Identify Hydrochemical Processes and Predict Drinking Water Quality for Groundwater Environment in a Metropolis
- Title: Machine Learning Approaches to Identify Hydrochemical Processes and Predict Drinking Water Quality for Groundwater Environment in a Metropolis
- Participant 1: Zakirul Mobin Zisan
- Participant 2: Tasniha Tasnim Toni
- Department: Information and Communication Engineering
- Faculty: Faculty of Engineering
- Level: Undergraduate
- Year: 2025
- Position: 3rd Place