Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques-Reference-Cited by-同舟云学术

Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques

Author:

Al-Eidi Shorouq¹^ORCID,Amsaad Fathi²^ORCID,Darwish Omar³^ORCID,Tashtoush Yahya⁴^ORCID,Alqahtani Ali⁵^ORCID,Niveshitha Niveshitha²

Affiliation:

1. Computer Science Department, Tafila Technical University, Tafila, Jordan

2. Computer Science and Engineering Department, Wright State University, Colonel, OH, USA

3. Information Security and Applied Computing Department, Eastern Michigan University, Ypsilanti, MI, USA

4. Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan

5. Department of Networks and Communication Engineering, Najran University, Najran, Saudi Arabia

Funder

Deanship of Scientific Research, Najran University, under the Research Groups Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference22 articles.

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2. Optimizing Air Quality Forecasts: Integrating ARIMA with Deep Learning Approaches;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14