Experimental Study of Real-Time Water Quality Analysis with Deep Neural Network (DNN) on Edge Computing
Author:
Affiliation:
1. Pathumwan Institute of Technology,Department of Electrical Engineer Faculty of Engineering,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553375/10553651/10553703.pdf?arnumber=10553703
Reference27 articles.
1. IoT Product on Smart Water Quality Monitoring System (Iot Wq-Kit) for Puducherry Union Territory
2. Real-Time Water Quality Tracking and Alert System with IoT Integration
3. Research on Water Quality Monitoring System and Classification Model Based on Internet of Things
4. Design and Implementation of a Water Quality Monitoring System Based on CC2630
5. Automation system for monitoring the quality of water sources to maintain their sustainability using microcontroller
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