REAL TIME AIR QUALITY SURVEILLANCE & FORECASTING SYSTEM (RTAQSFS) IN PUNE CITY USING MACHINE LEARNING-BASED PREDICTIVE MODEL

Increasing urbanisation and industrialisation produce major environmental challenges such as air pollution, which endangers human, animal, and vegetation life. Reliable measurement, monitoring, and prediction of Air Quality (AQ) have emerged as key global concerns. The State Government-Municipal Cor...

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Detalhes bibliográficos

Principais autores:	Tanuja Satish Dhope, Ahmed Shaikh, Dina Simunic, Prashant Pandurang Patil, Kishor S. Wagh, Sharmila K. Wagh
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of Kragujevac 2024-06-01
coleção:	Proceedings on Engineering Sciences
Assuntos:	air quality machine learning random forest. ridge linear regression iot sensors
Acesso em linha:	https://pesjournal.net/journal/v6-n2/8.pdf
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