Multi-station performance comparison of feature selection methods for air quality prediction: AOAOA vs. competing algorithms.

<p>Multi-station performance comparison of feature selection methods for air quality prediction: AOAOA vs. competing algorithms.</p>

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Bibliographic Details
Main Author:	Lakshmi Sankar (22086589) (author)
Other Authors:	Krishnamoorthy Arasu (22086592) (author)
Published:	2025
Subjects:	Medicine Evolutionary Biology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified surpassing conventional methodologies suggested feature extraction simulate temporal interdependence r &# 178 principal component analysis presents significant threats mean squared error mean absolute error innovative predictive framework hybrid aquila optimizer human health owing frequency pattern extraction bidirectional long short average execution time six monitoring sites hourly air quality air quality monitoring stations xlink "> wilcoxon signed term memory swift decline successful mitigation research introduces policy formulation pertinent features particulate matter october 2019 meteorological data mega cities june 2018 industrial emissions heavy traffic enhance multi elevated concentrations efficient prediction efficient multi dimensionality reduction dense populations 57 seconds
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