AIRFACTOR- Bangalore Based Air Pollution Monitoring and Prediction Application Using Machine Learning-Reference-Cited by-同舟云学术

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AIRFACTOR- Bangalore Based Air Pollution Monitoring and Prediction Application Using Machine Learning

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
language:
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Author:

V Kantharaju¹,N Harish Kumar¹,G Deepak²,A Karthik S¹,M Niranjanamurthy³,Gopal Kushal⁴

Affiliation:

1. BMS Institute of Technology and Management,Department of ISE,Bengaluru,India

2. Dayananda Sagar College of Engineering,Department of CSE,Bengaluru,India

3. BMS Institute of Technology and Management,Dept. of AI & ML,Bengaluru,India

4. Daimler Truck Innovation Center,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276050.pdf?arnumber=10276050

Reference21 articles.

1. Drone-Based Real- Time Air Pollution Monitoring for Low-Access Areas by Developing Mobile-Smart Sensing Technology

2. IoT based Air and Sound Pollution Monitoring System for Smart Environment

3. Open, IoT powered Environmental Air Pollution Monitoring Framework for Traffic Management

4. Design and Execution of an Internet of Things Based Air Pollution Monitoring Device

5. Air Pollution Comparison RFM Model Using Machine Learning Approach

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