Intelligent modeling strategies for forecasting air quality time series: A review
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …
and the health impacts from that have caused continuous attention by the government and …
Air pollution effects in allergies and asthma
A Nanda, SS Mustafa, M Castillo… - … and Allergy Clinics, 2022 - immunology.theclinics.com
Outdoor air pollution is associated with exacerbations of allergic diseases, including asthma,
allergic rhinitis (AR), and other atopic conditions. 1 Both new onset of these conditions and …
allergic rhinitis (AR), and other atopic conditions. 1 Both new onset of these conditions and …
Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
With the increase in population and industrialization, air pollution has become one of the
global problems nowadays. Therefore, air pollutant parameters should be measured at …
global problems nowadays. Therefore, air pollutant parameters should be measured at …
Development and applications of an intelligent crow search algorithm based on opposition based learning
S Shekhawat, A Saxena - ISA transactions, 2020 - Elsevier
Metaheuristics are proven beneficial tools for solving complex, hard optimization problems.
Recently, a plethora of work has been reported on bio inspired optimization algorithms …
Recently, a plethora of work has been reported on bio inspired optimization algorithms …
Meteorological pattern analysis assisted daily PM2. 5 grades prediction using SVM optimized by PSO algorithm
W Liu, G Guo, F Chen, Y Chen - Atmospheric Pollution Research, 2019 - Elsevier
Daily PM2. 5 level has significant influence on human health, which is attracting increasing
attention. The prediction of PM2. 5 grades has thus become an important factor closely …
attention. The prediction of PM2. 5 grades has thus become an important factor closely …
β-chaotic map enabled grey wolf optimizer
The diversification (exploration) and intensification (exploitation) are two main attributes of
any population-based metaheuristic algorithm. It is essential for any algorithm that in …
any population-based metaheuristic algorithm. It is essential for any algorithm that in …
Machine learning methods to forecast the concentration of PM10 in Lublin, Poland
J Kujawska, M Kulisz, P Oleszczuk, W Cel - Energies, 2022 - mdpi.com
Air pollution has a major impact on human health, especially in cities, and elevated
concentrations of PMx are responsible for a large number of premature deaths each year …
concentrations of PMx are responsible for a large number of premature deaths each year …
Spatio-temporal prediction and factor identification of urban air quality using support vector machine
CC Liu, TC Lin, KY Yuan, PT Chiueh - Urban Climate, 2022 - Elsevier
Accurate air quality prediction can provide better supervision and reference for management
policies. Due to difficulties in data acquisition, combined spatio-temporal prediction is still …
policies. Due to difficulties in data acquisition, combined spatio-temporal prediction is still …
Intelligent Grey Wolf Optimizer–Development and application for strategic bidding in uniform price spot energy market
Restructuring of power system has enabled generating companies to sell the power in
energy markets. To avail maximum profit, every generating company frame strategies and …
energy markets. To avail maximum profit, every generating company frame strategies and …
A demand side management control strategy using Whale optimization algorithm
In recent years, demand side management programs are in the spotlight due to the evolution
of the smart grid and consumer-centric policies. Demand side management program …
of the smart grid and consumer-centric policies. Demand side management program …