Deep Learning and Federated Learning in Air Quality Forecasting: Trends, Insights, Challenges, and Future Perspectives

Archives of Computational Methods in Engineering 2026

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Authors: Nairita Sarkar, Pankaj Kumar Keserwani, Rakesh Ranjan, Mahesh Chandra Govil
DOI: 10.1007/s11831-026-10555-1
Cited by: 1
References: 153

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Air Quality and Health Impacts Advanced Technologies in Various Fields

Publication details

Journal / source
Archives of Computational Methods in Engineering
Publisher
Springer Science and Business Media LLC
Volume
33
Issue
6
Pages
8553–8592
Publication date
4 April 2026
Language
EN