A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
A deep learning approach for prediction of air quality index in a metropolitan city
R Janarthanan, P Partheeban… - Sustainable Cities and …, 2021 - Elsevier
Abstract In India, the Central and State Pollution Control Boards have commissioned the
National Air Monitoring Program (NAMP) which covers 240 cities with 342 monitoring …
National Air Monitoring Program (NAMP) which covers 240 cities with 342 monitoring …
Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India
Nowadays, monitoring and prediction of air quality parameters are becoming significantly
important research topics in the context of increasing urbanization and industrialization …
important research topics in the context of increasing urbanization and industrialization …
Prediction and optimization of surface roughness in a turning process using the ANFIS-QPSO method
MS Alajmi, AM Almeshal - Materials, 2020 - mdpi.com
This study presents a prediction method of surface roughness values for dry and cryogenic
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
Modeling air pollution by integrating ANFIS and metaheuristic algorithms
Air pollution is increasing for many reasons, such as the crowding of cities, the failure of
planning to consider the benefit of society and nature, and the non-implementation of …
planning to consider the benefit of society and nature, and the non-implementation of …
Forecasting of air quality using an optimized recurrent neural network
Clean air is necessary for leading a healthy life. Many respiratory illnesses have their root in
the poor quality of air across regions. Due to the tremendous impact of air quality on …
the poor quality of air across regions. Due to the tremendous impact of air quality on …
Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln
The increasing demand for cement due to urbanization growth in Africa countries may result
in an upsurge of pollutants associated with its production. One major air pollutant in cement …
in an upsurge of pollutants associated with its production. One major air pollutant in cement …
Air quality data series estimation based on machine learning approaches for urban environments
A Rahimpour, J Amanollahi, CG Tzanis - Air Quality, Atmosphere & Health, 2021 - Springer
Air pollution is one of the main environmental problems in residential areas. In many cases,
the effects of air pollution on human health can be prevented by forecasting the air quality in …
the effects of air pollution on human health can be prevented by forecasting the air quality in …
A comparative analysis of Statistical and Computational Intelligence methodologies for the prediction of traffic-induced fine particulate matter and NO2
With the urbanization increase, urban mobility and transportation induce higher traffic
volumes causing environmental, economic and social impacts. This is due to continuous …
volumes causing environmental, economic and social impacts. This is due to continuous …
Evaluation of linear, nonlinear, and hybrid models for predicting PM2.5 based on a GTWR model and MODIS AOD data
M Mirzaei, J Amanollahi, CG Tzanis - Air Quality, Atmosphere & Health, 2019 - Springer
Ground monitoring station data of PM 2.5 are not available for each day and all places in
urban areas. In this research, taking Tehran as an example, a geographically and temporally …
urban areas. In this research, taking Tehran as an example, a geographically and temporally …