Water Quality Predictions for Urban Streams Using Machine Learning
Author:
Affiliation:
1. UNC Charlotte,Computer Science,Charlotte,NC,USA
2. UNC Charlotte,ETCM,Charlotte,NC,USA
3. UNC Charlotte,INES,Charlotte,NC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115054/10114957/10115154.pdf?arnumber=10115154
Reference33 articles.
1. A Complete Proposed Framework for Coastal Water Quality Monitoring System With Algae Predictive Model
2. Using Machine Learning Algorithms With In Situ Hyperspectral Reflectance Data to Assess Comprehensive Water Quality of Urban Rivers
3. Development of an IoT Water Quality Monitoring System for Data-Based Aquaculture Siting
4. Water Quality Monitoring Using IoT & Machine Learning
5. Multi-Target Regression Using Convolutional Neural Network-Random Forests (CNN-RF) For Early Earthquake Warning System
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