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A review of earth artificial intelligence
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
Metrics for evaluating the performance of machine learning based automated valuation models
ABSTRACT Automated Valuation Models (AVMs) based on Machine Learning (ML)
algorithms are widely used for predicting house prices. While there is consensus in the …
algorithms are widely used for predicting house prices. While there is consensus in the …
Spatial estimation of urban air pollution with the use of artificial neural network models
The deterioration of urban air quality is considered worldwide one of the primary
environmental issues and scientific evidence associates the exposure to ambient air …
environmental issues and scientific evidence associates the exposure to ambient air …
Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations
Data on the concentrations of seven environmental pollutants (CH4, NMHC, CO, CO2, NO,
NO2 and SO2) and meteorological variables (wind speed and direction, air temperature …
NO2 and SO2) and meteorological variables (wind speed and direction, air temperature …
Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations
The prediction of tropospheric ozone concentrations is very important due to the negative
impacts of ozone on human health, climate and vegetation. The development of models to …
impacts of ozone on human health, climate and vegetation. The development of models to …
Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia
This study focused on the pattern recognition of Malaysian air quality based on the data
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
Modelling deforestation using GIS and artificial neural networks
This study aims to predict the spatial distribution of tropical deforestation. Landsat images
dated 1974, 1986 and 1991 were classified in order to generate digital deforestation maps …
dated 1974, 1986 and 1991 were classified in order to generate digital deforestation maps …
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
High level of tropospheric ozone concentration, exceeding allowable level has been
frequently reported in Malaysia. This study proposes accurate model based on Machine …
frequently reported in Malaysia. This study proposes accurate model based on Machine …
Chemometric approach in environmental pollution analysis: A critical review
With the ever-increasing global population and industrialization, it has become a call of the
hour to start taking care of the environment to balance the ecosystem. For this, effective …
hour to start taking care of the environment to balance the ecosystem. For this, effective …