A Reliable Deep Ensemble Hybrid Model for Urban Air Quality Health Index Forecasting in Maritime Canada

Jamei, Mehdi

doi:10.1016/j.envsoft.2025.106837

A Reliable Deep Ensemble Hybrid Model for Urban Air Quality Health Index Forecasting in Maritime Canada

2025-12-24

0

PRE

AI

J

Jamei, Mehdi *

G

Gurjit S. Randhawa

M

Mumtaz Ali

M

Masoud Karbasi

I

Ismail Adewale Olumegbon

S

Saad Javed Cheema

T

Travis J. Esau

Q

Qamar uz Zaman

A

Aitazaz Ahsan Farooque *

DOI：10.1016/j.envsoft.2025.106837

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Abstract

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• A hybrid REMD-DeepERVFL framework is proposed for AQHI forecasting in Canada. • Graph-based feature selection integrated with BORDA MCDM enhances input ranking. • Soft sifting REMD effectively decomposes and denoises complex AQHI time series. • Bootstrap-based uncertainty quantification validates model reliability.

A Reliable Deep Ensemble Hybrid Model for Urban Air Quality Health Index Forecasting in Maritime Canada

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