Smart City Gnosys

Smart city article details

Title	A Machine Learning Model For Air Quality Prediction For Smart Cities
ID_Doc	2472
Authors	Mahalingam U.; Elangovan K.; Dobhal H.; Valliappa C.; Shrestha S.; Kedam G.
Year	2019
Published	2019 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2019
DOI	http://dx.doi.org/10.1109/WiSPNET45539.2019.9032734
Abstract	Air quality of a certain region can be used as one of the major factor determining pollution index also how well the city's industries and population is managed. Urban air quality monitoring has been a constant challenge with the advent of industrialization. Air pollution has remained a major challenge for the public and the government all over the world. Air pollution causes noticeable damage to the environment as well as to human health resulting into acid rain, global warming, heart diseases and skin cancer to the people. This paper addresses the challenge of predicting the Air Quality Index (AQI), with the aim to minimize the pollution before it gets adverse, using two Machine Learning Algorithms: Neural Networks and Support Vector Machines. The air pollution databases were extracted from the Central Pollution Control Board (CPCB), Ministry of Environment, Forest and Climate change, Government of India. The proposed Machine Learning (ML) model is promising in prediction context for the Delhi AQI. The results show improvement of the prediction accuracy and suggest that the model can be used in other smart cities as well. © 2019 IEEE.
Author Keywords	Air Pollution; Air Quality Index; Machine Learning Algorithms; Neural Network; Support Vector Machine.

Similar Articles

Id	Similarity	Authors	Title	Published
15001	0.95	Sharma G.; Khurana S.; Saina N.; Shivansh; Gupta G.	Comparative Analysis Of Machine Learning Techniques In Air Quality Index (Aqi) Prediction In Smart Cities	International Journal of System Assurance Engineering and Management, 15, 7 (2024)
7158	0.944	Shree A.N.R.; Shankaramma; Reddy C.	Air Quality Management In Smart Cities By Leveraging Machine Learning Techniques	3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Proceedings (2024)
2458	0.938	Swamynathan S.; Sneha N.; Ramesh S.P.; Niranjana R.; Ponkumar D.D.N.; Saravanakumar R.	A Machine Learning Approach For Predicting Air Quality Index In Smart Cities	Proceedings of 5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024 (2024)
29779	0.926	Mohammed Q.H.; Namburu A.	Hybrid Model And Framework For Predicting Air Pollutants In Smart Cities	Journal of Engineering and Sustainable Development, 28, 3 (2024)
7169	0.924	Iskandaryan D.; Ramos F.; Trilles S.	Air Quality Prediction In Smart Cities Using Machine Learning Technologies Based On Sensor Data: A Review	Applied Sciences (Switzerland), 10, 7 (2020)
1334	0.923	Binbusayyis A.; Khan M.A.; Ahmed A M.M.; Emmanuel W.R.S.	A Deep Learning Approach For Prediction Of Air Quality Index In Smart City	Discover Sustainability, 5, 1 (2024)
15000	0.918	Ameer, S; Shah, MA; Khan, A; Song, HB; Maple, C; Ul Islam, S; Asghar, MN	Comparative Analysis Of Machine Learning Techniques For Predicting Air Quality In Smart Cities	IEEE ACCESS, 7 (2019)
53645	0.912	Essamlali I.; Nhaila H.; El Khaili M.	Supervised Machine Learning Approaches For Predicting Key Pollutants And For The Sustainable Enhancement Of Urban Air Quality: A Systematic Review	Sustainability (Switzerland), 16, 3 (2024)
7157	0.912	Bajpai M.; Jain T.; Bhardwaj A.; Kumar H.; Sharma R.	Air Quality Index Prediction Using Various Machine Learning Algorithms	6G Enabled Fog Computing in IoT: Applications and Opportunities (2023)
7168	0.911	Niveshitha N.; Amsaad F.; Jhanjhi N.Z.	Air Quality Prediction In Smart Cities Using Cloud Machine Learning	2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023 (2023)