Smart City Gnosys

Smart city article details

Title	Divination Of Air Quality Assessment Using Ensembling Machine Learning Approach
ID_Doc	20782
Authors	William P.; Paithankar D.N.; Yawalkar P.M.; Korde S.K.; Pabale A.R.; Rakshe D.S.
Year	2023
Published	Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, ICECONF 2023
DOI	http://dx.doi.org/10.1109/ICECONF57129.2023.10083751
Abstract	Smart cities must address air pollution as a top environmental concern. Real-time monitoring of pollution data enables metropolitan authorities to analyze the city's current traffic conditions and implement necessary corrective actions. The increased usage of Internet of things (IoT)-based sensors has altered the dynamics of air quality prediction significantly. While earlier research has used a number of machine learning techniques to anticipate pollution, it is usually necessary to compare various tactics in order to better understand how long they take to analyse different datasets. The best model for accurately predicting air quality given the amount of data available and the processing time required was determined by a comparative study of four different advanced regression algorithms. Apache Spark was used to perform tests and estimate pollution levels from a range of publicly available data sources. MAE and the root mean square error (RMSE) are often used to compare regression models. In order to find the best-fitting mode on Apache Spark, each method was tested in terms of processing time and error rate using a mix of standalone learning and fitting the hyperparameter tweaks on Apache Spark. © 2023 IEEE.
Author Keywords	Air Quality Index (AQI); Apache Spark; Data Mining; IoT; Smart City

Similar Articles

Id	Similarity	Authors	Title	Published
15000	0.955	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)
7158	0.916	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)
15001	0.908	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)
7168	0.907	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)
2458	0.906	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)
839	0.905	Garg K.D.; Gupta M.; Sharma B.; Dhaou I.B.	A Comparison Of Regression Techniques For Prediction Of Air Quality In Smart Cities	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings (2023)
27055	0.903	Varade H.P.; Bhangale S.C.; Thorat S.R.; Khatkale P.B.; Sharma S.K.; William P.	Framework Of Air Pollution Assessment In Smart Cities Using Iot With Machine Learning Approach	Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023 (2023)
7169	0.902	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)
7175	0.901	Potey S.; Borkar P.; Badhiye S.; Farooqui S.; Rangari S.	Air Quality Prediction Using Machine Learning: An Comprehensive Review	2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2025 (2025)
33702	0.901	Alnowaiser K.; Alarfaj A.A.; Alabdulqader E.A.; Umer M.; Cascone L.; Alankar B.	Iot Based Smart Framework To Predict Air Quality In Congested Traffic Areas Using Sv-Cnn Ensemble And Knn Imputation Model	Computers and Electrical Engineering, 118 (2024)