A Comparison of Regression Techniques for Prediction of Air Quality in Smart Cities

Author:

Garg Kamal Deep1,Gupta Manik1,Sharma Bhisham1,Dhaou Imed Ben2

Affiliation:

1. Chitkara University Institute of Engineering and Technology,Chitkara University,Punjab,India

2. Dar Al-Hekma University,Hekma School of Engineering, Computing, and Informatics,Department of Computer Science,Jeddah,Saudi Arabia

Publisher

IEEE

Cited by 5 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. A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies;Sustainable Cities and Society;2024-08

2. Harnessing Machine Learning for Predictive Analysis of Air Quality in Pune City: A Comparative Study;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14

3. Liquefied Petroleum Gas Concentration Prediction Based on Regression Model;2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2023-11-17

4. Estimation of Air Quality Index using AI and ML Techniques;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

5. Long-Range Network of Air Quality Index Sensors in an Urban Area;Sensors;2023-11-06

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