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 …
Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient and CO Concentrations: Case Study
Air pollution in megacities have caught attention of both researchers and policymakers
because of increasing emissions, poor air quality, and potential adverse health impacts on …
because of increasing emissions, poor air quality, and potential adverse health impacts on …
Forecasting the amount of traffic-related pollutant emissions by neural networks
V Shepelev, I Slobodin, A Gritsenko… - Frontiers in Built …, 2022 - frontiersin.org
Continuous urbanization has led to a significant increase in traffic density in large cities and
a concomitant growth of vehicle emissions (Davis et al., 2005; Perugu, 2019). An effective …
a concomitant growth of vehicle emissions (Davis et al., 2005; Perugu, 2019). An effective …
High temporal resolution prediction of street-level PM2. 5 and NOx concentrations using machine learning approach
Accurate and high temporal resolution predictions of fine particulate matter (PM 2.5) and
nitrogen oxides (NO x) concentrations are crucial for pollution control, air pollutant exposure …
nitrogen oxides (NO x) concentrations are crucial for pollution control, air pollutant exposure …
Air pollution particulate matter (PM2. 5) prediction in South African cities using machine learning techniques
TD Morapedi, IC Obagbuwa - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
Background Air pollution contributes to the most severe environmental and health problems
due to industrial emissions and atmosphere contamination, produced by climate and traffic …
due to industrial emissions and atmosphere contamination, produced by climate and traffic …
Prediction of particulate matter at street level using artificial neural networks coupling with chaotic particle swarm optimization algorithm
The time series of particulate matter at urban intersection consists of complex linear and
nonlinear patterns and are difficult to forecast. Artificial neural networks (ANNs) have been …
nonlinear patterns and are difficult to forecast. Artificial neural networks (ANNs) have been …
[PDF][PDF] Forecasting criteria air pollutants using data driven approaches; An Indian case study
Forecasting air pollutant trends especially in metropolitan cities of India, has become a vital
issue as air pollution has immediate and severe impacts on human health. Criteria …
issue as air pollution has immediate and severe impacts on human health. Criteria …
Air quality analysis and PM2.5 modelling using machine learning techniques: A study of Hyderabad city in India
A Mathew, PR Gokul, P Raja Shekar… - Cogent …, 2023 - Taylor & Francis
The rapid urbanization and industrialization in many parts of the world have made air
pollution a global public health problem. A study conducted by the Swiss organization IQAir …
pollution a global public health problem. A study conducted by the Swiss organization IQAir …
Neural-based ensembles for particulate matter forecasting
The air pollution caused by particulate matter (PM) has become a public health issue due to
the risks to human life and the environment. The PM concentration in the air causes haze …
the risks to human life and the environment. The PM concentration in the air causes haze …
The influence of data length on the performance of artificial intelligence models in predicting air pollution
Air pollution is one of humanity's most critical environmental issues and is considered
contentious in several countries worldwide. As a result, accurate prediction is critical in …
contentious in several countries worldwide. As a result, accurate prediction is critical in …