A novel framework for high resolution air quality index prediction with interpretable artificial intelligence and uncertainties estimation DOI
Junhao Wu, Xi Chen, Rui Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120785 - 120785

Published: April 1, 2024

Language: Английский

Intelligent Seasonal Air Quality Prediction with Machine Learning Models: Enhancing Performance Through Polynomial Regression and Bayesian Optimization DOI

Savan P Padaliya,

Swati Saxena,

Aloknath De

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 18 - 35

Published: Jan. 1, 2025

Language: Английский

Citations

0
Revolutionizing air quality forecasts with optimal nonlinear regression self-organizing mapping recurrent network DOI
P S Viswanathan, S. Neduncheliyan

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: April 2, 2025

Language: Английский

Citations

0
Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal DOI Open Access
J. C. Odirichukwu,

Simon Peter Chimaobi Odirichukwu,

Stanley Adiele Okolie

et al.

Published: April 8, 2024

This paper conducts a comprehensive analysis of the impact Artificial Intelligence (AI)-driven Internet Things (IoT) systems on air quality management in Nigeria. The study examines current state Nigeria, highlighting prevailing challenges, health implications, and environmental significance escalating pollution levels. It delves into existing conventional methods technologies utilized for management, emphasizing monitoring systems, regulatory frameworks, control measures. In addition, this review elucidates integration AI IoT globally addressing concerns, particularly realm management. specifically zooms emergence adoption AI-driven within Nige- ria’s landscape, spotlighting ongoing initiatives or projects. seeks to investigate implementation consequences AI-powered Nigeria context. bridges knowledge gaps by scrutinizing effectiveness these advanced mitigating assesses challenges encountered practical implementation, encompassing technical, regulatory, socio-economic barrier.

Language: Английский

Citations

3
A novel framework for high resolution air quality index prediction with interpretable artificial intelligence and uncertainties estimation DOI
Junhao Wu, Xi Chen, Rui Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120785 - 120785

Published: April 1, 2024

Language: Английский

Citations

2