Novel IoT & Machine Learning Base Water Flow Monitoring System-Reference-Cited by-同舟云学术

Novel IoT & Machine Learning Base Water Flow Monitoring System

Published:2022-10-16 Issue: Volume: Page:
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Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
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Author:

Chaitanya Bharadwaj Kanakadandi Venkata¹,Dusarlapudi Kalyan¹,Sudhakar Kattupalli²,Kireeti Polasi Venkata Satya³,Sai Tiruvuri Charan³,Raju K. Narasimha¹

Affiliation:

1. Koneru Lakshmaiah Education Foundation,Department of EEE,Vijaywada,India

2. PSCMR College of Engineering and Technology,Department of CSE,Vijaywada,India

3. Elecquest Technologies Pvt Ltd,Vijaywada,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9972337/9971799/09972658.pdf?arnumber=9972658

Reference28 articles.

1. Advancing surface water flow measurement with low-cost smart sensors;fell;IMIESA,2019

2. IoT Application for Water Quality Monitoring: Nitrates

3. Execution of natural random forest machine learning techniques on multi spectral image compression;murthy;International Journal of Pharmaceutical Research,2019

4. Data optimization in nitrate water monitoring systems;hernández-alpizar,2020

5. Accuracy Analysis Of An Ultrasonic Sensor Over An Open Channel Rectangular Notch For Rainwater Harvesting;dusarlapudi;International Journal of Scientific & Technology Research,2020

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1. Design and implementation of a Li River water quality monitoring and analysis system based on outlier data analysis;PLOS ONE;2024-03-18

2. Water Quality Monitoring Station Through Nitrate Measuring with IoT;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28

3. Data-Driven Aquatics;Innovations in Machine Learning and IoT for Water Management;2023-11-27