[BOOK][B] Air pollution: measurement, modelling and mitigation
A Tiwary, I Williams - 2018 - taylorfrancis.com
This established textbook offers a one-stop, comprehensive coverage of air pollution, all in
an easy-reading and accessible style. The fourth edition, broadly updated and developed …
an easy-reading and accessible style. The fourth edition, broadly updated and developed …
Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction
In this study, a three-layer artificial neural network (ANN) model was investigated to predict
the extraction yield of essential oils from Diplotaenia cachrydifolia by supercritical fluid …
the extraction yield of essential oils from Diplotaenia cachrydifolia by supercritical fluid …
The effect of air pollution quality on lung cancer rates in middle-income and high-income countries: a panel data analysis approach
Background Air pollution is one of the biggest problems in societies today. The intensity of
indoor and outdoor air pollutants and the urbanization rate can cause or trigger many …
indoor and outdoor air pollutants and the urbanization rate can cause or trigger many …
Long-term global solar radiation prediction in 25 cities in morocco using the FFNN-BP method
This article presents different combinations of input parameters based on an intelligent
technique, using neural networks to predict daily global solar radiation (GSR) for twenty-five …
technique, using neural networks to predict daily global solar radiation (GSR) for twenty-five …
Wind-sensitive interpolation of urban air pollution forecasts
People living in urban areas are exposed to outdoor air pollution. Air contamination is linked
to numerous premature and pre-native deaths each year. Urban air pollution is estimated to …
to numerous premature and pre-native deaths each year. Urban air pollution is estimated to …
[HTML][HTML] Artificial neural network modeling studies to predict the yield of enzymatic synthesis of betulinic acid ester
MG Moghaddam, FBH Ahmad, M Basri… - Electronic Journal of …, 2010 - SciELO Chile
Resumen MOGHADDAM, Mansour Ghaffari; AHMAD, Faujan Bin H; BASRI, Mahiran y
RAHMAN, Mohd Basyaruddin Abdul. Artificial neural network modeling studies to predict the …
RAHMAN, Mohd Basyaruddin Abdul. Artificial neural network modeling studies to predict the …
Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps
In this study, a neural network model is developed for the prediction of oil flow rates in wells
lifted by electrical submersible pumps (ESPs). Three attributes of the model in this work …
lifted by electrical submersible pumps (ESPs). Three attributes of the model in this work …
Application of artificial neural networks for the prediction of pollutant emissions and outlet temperature in a fuel-staged gas turbine combustion rig
This study deals with artificial neural network (ANN) modelling of a fuel-staged gas turbine
combustion rig to predict exhaust emissions and combustor outlet temperature. The data …
combustion rig to predict exhaust emissions and combustor outlet temperature. The data …
[HTML][HTML] Impact of Urbanization on Air Quality of Dehradun District
S Dhankar, G Singh, K Kumar - Current World Environment, doi, 2024 - cwejournal.org
The increasing trend of urbanization poses a significant challenge to environmental
sustainability, particularly concerning air quality. This study examines the impact of rapid …
sustainability, particularly concerning air quality. This study examines the impact of rapid …
Artificial neural network modeling of p-cresol photodegradation
Background The complexity of reactions and kinetic is the current problem of
photodegradation processes. Recently, artificial neural networks have been widely used to …
photodegradation processes. Recently, artificial neural networks have been widely used to …