Air Quality Prediction (IoT) Using Machine Learning-Reference-Cited by-同舟云学术

Air Quality Prediction (IoT) Using Machine Learning

Published:2021 Issue: Volume: Page:583-591
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Sardar Maran P.,Reddy Bussu Saikiran,Saiharshavardhan Chava

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8752-8_59

Reference24 articles.

1. Perez, P. (2001). Prediction of sulfur dioxide concentrations at a site near downtown Santiago, Chile. Atmospheric Environment, 35, 4929–4935.

2. Anttila, P., Tuovinen, J.-P., & Niemi, J. V. (2011). Primary NO2 emissions and their role in the development of NO2 concentrations in a traffic environment. Atmospheric Environment, 45(4), 986–992.

3. Billionnet, C., Sherrill, D., & Annesi-Maisano, I. (2012). GERIE study. Estimating the health effects of exposure to multi-pollutant mixture. Annals of Epidemiology, 22(2), 126–141.

4. Kelly, S., Suryadevara, N., & Mukhopadhyay, S. (2013). Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors Journal, 13(10), 38463853.

5. Jamal, A., & NabizadehNodehi, R. (2017). Predicting air quality index based on meteorological data: A comparison of regression analysis, artificial neural networks and decision tree. Journal of Air Pollution and Health, 2, 27–38.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Air Pollution Monitoring and Prediction during Metro Construction using Machine Learning;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

2. A Holistic Approach to Food Waste Management: Leveraging Full-Stack Technologies for Efficient Resource Utilization;2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR);2023-12-09

3. Methods for Urban Air Pollution Measurement and Forecasting: Challenges, Opportunities, and Solutions;Atmosphere;2023-09-15

4. Air pollution prediction system using XRSTH-LSTM algorithm;Environmental Science and Pollution Research;2023-07-23

5. Cardiovascular Disease Prediction using ML Techniques to Find the Best Accurate Model;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01